1139 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (298:1436, 77%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (303:1441, 77%)

642 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (820:1461, 43%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (500:1141, 56%)

159 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (17:175, 10%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (17:175, 10%)

79 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:296, 5%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:301, 5%)

48 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (145:192, 8%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (115:162, 13%)

47 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (140:186, 9%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (60:106, 9%)

45 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (144:188, 9%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (118:162, 12%)

44 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:945, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1778, 1%)

43 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (148:190, 7%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (64:106, 8%)

41 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (150:190, 6%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (95:135, 6%)

40 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1063:1102, 3%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (826:865, 4%)

35 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (18:52, 6%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (19:53, 9%)

30 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:312, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:335, 1%)

27 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:51, 5%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:52, 7%)

27 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:51, 7%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:52, 7%)

26 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1049:1074, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1882:1907, 1%)

26 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:49, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:51, 7%)

26 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:50, 5%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:51, 7%)

26 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:627, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:775, 1%)

25 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:49, 7%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:50, 3%)

25 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:49, 5%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:50, 3%)

25 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:56, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:50, 6%)

25 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:48, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:50, 3%)

25 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:49, 5%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:50, 3%)

25 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:49, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:50, 3%)

25 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:56, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:50, 3%)

24 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:265, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:403, 3%)

24 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:367, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:478, 3%)

24 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:327, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:308, 6%)

23 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:610, <1%)

22 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:82, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:83, 5%)

21 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:493, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:563, 1%)

21 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:558, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:498, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:550, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:607, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:650, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:717, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1005, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:804, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:843, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:884, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:955, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1042, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1129, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1727, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1202, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1285, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1348, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1406, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1462, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1563, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1272:1291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2390:2409, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:497, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:562, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:653, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:653, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:401, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:653, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:401, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:607, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:550, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:650, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:717, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:804, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:843, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:884, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:955, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1005, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1348, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1406, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1285, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1129, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1202, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1042, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1727, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1563, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1462, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1256, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2375, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1042, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1563, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1727, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1285, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1202, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1129, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1462, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1406, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1348, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:607, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:550, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:884, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:843, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1005, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:955, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:717, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:650, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:492, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:804, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:136, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:136, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:115, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:562, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:497, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:648, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:401, 1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1727, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1563, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1462, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1348, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1406, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1285, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1202, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1129, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:557, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1042, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:550, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1005, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:955, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:804, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:884, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:843, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:717, <1%)

20 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:396, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:650, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:803, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:716, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:649, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:606, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:549, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1004, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:954, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:883, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:842, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:704, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:784, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:903, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1004, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:954, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:649, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:716, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:549, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:606, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:883, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:842, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:803, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:491, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:784, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:491, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:704, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:491, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:903, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1284, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1347, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1201, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1128, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1562, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1405, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1461, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1726, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1041, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:903, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:496, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:561, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:704, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:652, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:400, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:556, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:903, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:556, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:704, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:556, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:784, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1041, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1461, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1347, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1405, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1284, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1128, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1201, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1726, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:779, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1562, <1%)

19 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1244:1262, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1235:1253, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1041, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1128, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1284, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1347, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1201, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1562, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1405, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1461, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1726, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:647, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:704, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:496, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:400, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:561, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:652, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:704, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:647, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:903, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:647, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:784, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:898, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:784, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:842, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:803, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:649, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:716, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1004, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:954, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:883, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:549, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:606, <1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:903, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:652, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:784, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:400, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:561, 1%)

19 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:699, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:496, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:560, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:703, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:651, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:783, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:902, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:399, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:495, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:114, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:395, 3%)

18 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (241:258, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (181:198, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:242, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:279, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:135, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1007, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1040, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1460, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1404, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1346, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1283, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1200, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1127, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1725, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1561, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:83, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1162, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1077, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1130, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:87, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:882, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:841, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1003, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:953, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:715, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:648, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:802, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:605, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:548, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:237, 4%)

18 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (180:197, 5%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (181:198, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:605, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:548, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:84, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1003, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:953, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:882, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:841, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:802, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:715, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:648, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:57, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1003, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:953, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:802, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:882, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:841, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:605, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:548, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:715, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:648, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:151, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (232:249, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (181:198, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:778, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:112, 5%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:87, 5%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1040, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1200, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1127, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1283, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1404, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1346, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1460, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1561, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:548, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:394, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:648, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:605, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:802, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:715, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:882, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:841, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1003, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:953, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1725, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:361, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:382, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:340, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:124, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:458, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:150, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:122, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:452, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:376, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:355, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:334, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:401, 3%)

18 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (205:222, 4%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (181:198, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:85, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:244, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:281, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:80, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:902, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:560, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:495, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:783, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:651, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:703, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:399, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:703, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:651, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:560, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:495, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:399, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:290, 5%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:253, 5%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:165, 5%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:648, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:715, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:548, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:605, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:902, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:783, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:882, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:841, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:802, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1003, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:953, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:616, 2%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:136, 5%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:374, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:354, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:399, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:495, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:783, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:651, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:703, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:902, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:560, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:560, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:495, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:651, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:703, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:399, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:902, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:783, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1055, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:646, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1400, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:101, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:117, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:269, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:247, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:315, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:555, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:296, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:274, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:334, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1040, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1200, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1127, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1283, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1404, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1346, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1460, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:698, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:341, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:465, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1561, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:390, 2%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1725, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:317, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:393, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:277, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:298, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:124, 4%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:198, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1725, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1404, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1346, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1561, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1460, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1127, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1200, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1283, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1040, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:295, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:260, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:937, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:783, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:490, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:902, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:560, 1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:76, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:115, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:703, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:651, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:399, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:495, 1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1127, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1200, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1283, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1040, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1200, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1127, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1283, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1725, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1404, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1346, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1404, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1346, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1561, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1460, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1460, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1040, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:897, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:953, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:1003, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1561, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:648, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:441, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:418, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:715, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:482, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1691, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:548, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:344, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:605, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1658, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:365, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:386, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:841, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:882, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1725, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:134, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1765, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:272, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:304, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:248, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:802, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:133, 3%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:336, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:336, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2432, <1%)

18 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:759, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:218, 4%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2261, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2294, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2349, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2387, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2094, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2041, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2140, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1395, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2196, <1%)

18 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:932, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:113, 1%)

17 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (408:424, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1272:1288, 1%)

17 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (316:332, 4%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1272:1288, 1%)

17 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1065:1081, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1272:1288, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:110, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:85, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:82, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:55, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:450, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:353, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:332, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:374, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:120, 3%)

16 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (808:823, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1258, <1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:99, 3%)

16 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4283, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1141, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1053, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:85, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:332, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:272, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:294, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:313, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:115, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:352, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:372, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:113, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:112, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1005, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:133, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:149, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:81, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:78, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:399, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:279, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:242, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:277, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:240, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:393, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:338, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:359, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:380, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:456, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:122, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:148, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:134, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:83, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:463, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:388, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:163, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:251, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:288, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1128, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1160, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1075, 1%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:293, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:235, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:614, 2%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:334, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:216, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:267, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:245, 4%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:315, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:296, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:275, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:391, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:196, 3%)

16 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:757, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:122, 3%)

15 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1455:1469, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1474, 1%)

15 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (332:346, 4%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1474, 1%)

15 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1081:1095, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1474, 1%)

15 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1:15, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1:15, 1%)

14 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (799:812, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2576:2589, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:453, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:427, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:319, 2%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:273, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:269, <1%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:968, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1814, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:479, 2%)

14 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (424:437, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:434, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:463, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:388, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:662, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:691, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:601, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:266, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:297, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:319, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:427, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:453, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:701, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:672, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:608, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:464, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:435, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:298, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:389, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:222, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:267, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:560, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:267, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:222, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:464, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:435, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:298, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:389, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:701, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:672, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:608, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:108, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:319, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:427, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:453, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:701, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:672, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:608, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:464, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:435, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:389, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:222, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:267, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:298, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:451, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:205, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:244, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:813, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:883, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:937, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:668, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:615, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:743, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:297, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:266, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:434, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:463, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:388, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:691, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:662, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:601, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:108, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:319, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:427, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:453, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:349, 3%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1089, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1922, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:266, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:937, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:883, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:813, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:743, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:615, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:668, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:451, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:244, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:205, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:435, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:464, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:608, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:672, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:701, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:560, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:222, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:267, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:298, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:389, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:723, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:662, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:691, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:601, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:434, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:463, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:388, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:297, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:297, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:266, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:463, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:434, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:388, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:691, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:662, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:601, 1%)

14 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (214:227, 3%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:723, 1%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (44:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (72:85, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:108, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:434, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:463, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:601, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:297, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:266, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:388, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:691, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:662, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:486, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:479, 2%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:252, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:486, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:108, 1%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:136, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:138, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:244, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:205, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:743, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:668, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:615, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:451, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:937, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:883, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:813, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:330, 4%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:560, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:813, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:743, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:668, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:937, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:883, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:244, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:615, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:451, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:205, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:427, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:453, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:514, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:319, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:635, 2%)

14 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:115, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:138, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:330, 4%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:680, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:560, 2%)

14 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1087:1100, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2576:2589, <1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:244, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:451, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:668, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:615, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:205, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:743, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:348, 3%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:349, 3%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:883, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:813, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:937, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1221, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:615, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:560, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:635, 2%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:608, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:672, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:701, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:72, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:421, 3%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:389, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:435, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:464, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:298, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:267, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:222, 1%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:348, 3%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:755, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:421, 3%)

14 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:945, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:108, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:903, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:704, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:784, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:652, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:496, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:561, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:400, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:647, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:186, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:116, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:944, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:429, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:944, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:219, 3%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:679, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:219, 3%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:116, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:491, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:238, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:116, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1279:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1183, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1279:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1253, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1449:1461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1967:1979, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:387, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:219, 3%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:779, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4271:4283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1967:1979, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1081:1093, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1303, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:513, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:219, 3%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (332:344, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1303, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:247, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:116, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:387, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:429, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1166:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1296, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1166:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1253, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Entity Explorer - Host.ipynb (688:700, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1255, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1236:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1296, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1236:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1183, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (582:594, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1472, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:898, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:513, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:429, 1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1236:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2397:2409, <1%)

13 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (692:704, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1255, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1166:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2397:2409, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:433, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:972, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:679, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:429, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:614, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:219, 3%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:300, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1405, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1347, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1284, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1128, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1041, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1726, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1562, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1461, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:556, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1455:1467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1303, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:699, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:434, <1%)

13 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:614, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:429, 1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:649, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:716, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:803, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:842, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:549, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:606, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:883, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:954, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:429, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1004, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1276, <1%)

13 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1093, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1126, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1168, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1235, <1%)

13 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (582:594, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1303, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1361, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1336, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:363, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:318, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:403, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:450, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:136, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:201, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:160, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:293, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1605, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1813, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1921, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1961, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:92, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2533, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2504, <1%)

13 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2475, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:116, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:236, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:273, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:370, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:389, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:328, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:477, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:446, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:368, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:348, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1296:1307, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2319:2330, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1156, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1124, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:148, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1049, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:95, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:106, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:960, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:846, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:433, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:484, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:452, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:238, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:275, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:355, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:376, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:334, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:395, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:109, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:74, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:106, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:81, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:81, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:484, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:452, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:376, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:355, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:334, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:395, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:144, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:238, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:275, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:452, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:484, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:334, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:355, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:376, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:395, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:238, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:275, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:242, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:449, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:348, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:368, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:203, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:613, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:666, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:741, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:811, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:881, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:935, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:145, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:36, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:721, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:116, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:273, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:236, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1049, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:389, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:370, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:328, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1156, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1124, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:477, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:446, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:77, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:459, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:384, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:633, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:610, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:79, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:108, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:51, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:433, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:433, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:263, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:241, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:346, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:289, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:346, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:289, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:241, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:263, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1219, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:145, 1%)

12 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (797:808, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (311:322, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:721, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:78, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:95, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:368, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:348, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:721, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:130, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:145, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:159, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:247, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:284, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:328, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:43, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:765, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:43, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:846, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:43, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:960, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (797:808, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (311:322, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:43, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:148, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:129, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:192, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1001, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:77, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:74, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:241, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:263, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:289, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:346, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:419, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:387, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:330, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:311, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:271, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:212, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:144, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:78, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:433, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:368, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:348, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:108, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:51, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:451, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:317, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:425, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:35, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:241, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:263, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:289, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:346, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (95:106, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:328, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:347, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:290, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:309, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:231, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:268, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:284, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:247, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:328, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:111, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:109, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:159, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:130, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:74, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (510:521, 2%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1254, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:144, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:95, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:74, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:328, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:433, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:159, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:130, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:284, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:247, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1001, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:81, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:106, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:129, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:721, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:459, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:384, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:633, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:610, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:231, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:268, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:290, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:309, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:111, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:145, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:347, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:328, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:670, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:699, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:606, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:433, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:462, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:387, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:265, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:296, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:220, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1156, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1124, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1049, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:144, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1129:1140, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (854:865, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:387, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:311, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:330, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:212, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:271, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:192, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:419, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:95, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (924:935, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (870:881, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (800:811, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (231:242, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (192:203, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (730:741, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (655:666, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (602:613, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (438:449, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:77, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:81, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:106, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:36, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:765, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:36, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:846, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:36, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:960, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:36, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:148, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:111, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (557:568, 2%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (311:322, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:347, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:328, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:309, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:290, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:268, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:231, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (376:387, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (451:462, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (422:433, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (285:296, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (254:265, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (209:220, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Entity Explorer - Host.ipynb (793:804, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (311:322, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:79, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (595:606, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (688:699, 1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (659:670, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:192, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:271, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:212, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:387, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:330, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:311, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:419, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:51, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:108, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (63:74, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:35, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:148, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1:12, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:78, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:35, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (520:531, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:35, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:846, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:35, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:960, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (133:144, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:419, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:330, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:387, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:311, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:212, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:271, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:192, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:219, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:295, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:264, 1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:461, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:432, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:386, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:689, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:660, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:599, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:81, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:57, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (218:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:111, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:309, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:268, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:290, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:347, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:328, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:231, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (336:347, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (100:111, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (317:328, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (220:231, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (257:268, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (279:290, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (298:309, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:77, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:236, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:370, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:328, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:273, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:116, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:116, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:273, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:236, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:477, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:446, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:109, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:389, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:78, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1110:1121, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:452, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:484, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:238, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:275, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:334, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:355, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:376, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:395, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:129, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1001, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:79, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:765, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (365:376, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (384:395, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (323:334, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (344:355, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:275, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:846, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (227:238, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (473:484, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (441:452, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:108, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:51, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1049, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1071, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:960, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1124, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1156, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:148, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (84:95, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:633, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (375:386, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (421:432, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (450:461, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (588:599, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (678:689, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (649:660, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (253:264, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (284:295, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (208:219, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:394, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:610, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:459, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:384, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:370, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:389, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (66:77, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:328, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (182:193, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (182:193, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:446, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:477, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1001, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (107:118, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (181:192, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (201:212, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (260:271, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (300:311, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (319:330, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (376:387, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (408:419, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:79, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:43, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:129, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1395, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:255, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:109, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (663:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (301:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (98:109, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (357:368, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (337:348, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:428, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:558, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (736:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:633, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:610, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:459, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:384, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:678, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (68:79, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (278:289, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (230:241, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (252:263, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (335:346, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (361:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:993, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:328, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:284, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:247, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:159, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:512, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:130, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (440:451, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (414:425, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (306:317, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:81, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1412:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (422:433, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1208:1219, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1992, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1778, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1746, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1791, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1880, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1021, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1063, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1108, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (417:428, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1542, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1516, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1583, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1503, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1706, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (602:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1321, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:81, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:600, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1434, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1383, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:106, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:81, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2014, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2071, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (260:271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2314, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2367, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2409, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2446, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2121, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2166, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (70:81, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (95:106, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2222, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2555, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (65:76, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:197, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1345:1356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1260:1271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (347:358, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (289:300, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1077:1088, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:555, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (118:129, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1038:1049, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1060:1071, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1113:1124, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1145:1156, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:218, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (990:1001, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:932, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (359:370, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (317:328, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (378:389, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (225:236, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (262:273, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (105:116, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (373:384, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (448:459, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (599:610, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (466:477, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (622:633, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (435:446, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:148, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:303, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:266, 3%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:846, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:178, 3%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:960, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (615:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:646, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:229, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:285, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:386, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:418, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:482, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:441, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:304, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:272, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:365, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:344, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:772, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:248, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1802:1813, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (284:295, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:133, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:50, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1950:1961, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1910:1921, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:399, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (956:967, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1594:1605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (961:972, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (547:558, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (417:428, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1184:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1167:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (710:721, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:70, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:57, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (134:145, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:291, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (392:403, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (439:450, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:953, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (190:201, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1003, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (149:160, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (282:293, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (352:363, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (307:318, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:778, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (125:136, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:753, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (207:218, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:648, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:715, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:802, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:841, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1320:1331, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:231, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:349, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (148:159, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (119:130, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (273:284, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:930, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (236:247, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (317:328, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1237:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:495, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:258, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (934:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1130:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2522:2533, <1%)

12 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2493:2504, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1036:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2464:2475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:933, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:917, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:984, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:581, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:629, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:475, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:507, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:527, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:819, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:858, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:685, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:50, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:774, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:761, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:156, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:294, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:257, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (40:51, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (97:108, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:698, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:478, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:580, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1036, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:403, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1280:1291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:100, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:703, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:651, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:783, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:149, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:902, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:735, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:250, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:937, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:198, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:439, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:308, 3%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:175, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1245, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1127, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1181, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1143, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1040, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:335, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:378, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:56, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1020, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1346, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1404, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:424, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:267, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1364:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:250, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1283, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:113, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:134, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1658, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1561, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:260, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1460, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:341, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:399, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:495, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1725, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:98, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:85, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1765, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1691, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (160:171, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:560, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1428, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:642, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:710, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:783, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1380, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:473, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:882, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:163, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1052, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:484, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:318, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:865, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:909, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1296, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1253, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:975, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:164, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1183, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1200, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (458:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1146, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (902:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1157:1168, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1115:1126, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1082:1093, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1325:1336, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1350:1361, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1265:1276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:336, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1224:1235, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:228, <1%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:408, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:48, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:236, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:161, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1152:1163, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1400, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:548, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1219:1230, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:605, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2094, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2041, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:752, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:918, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:950, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2261, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2294, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2140, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2196, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2432, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:377, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:317, <1%)

12 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:414, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:474, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:373, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:96, 2%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2349, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (81:92, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2387, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:536, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:618, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:679, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:631, <1%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:154, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:943, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (67:78, 1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:613, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (70:81, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:292, 2%)

12 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:49, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:255, 2%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:317, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:149, <1%)

12 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:665, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:483, 1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:276, <1%)

12 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (866:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:234, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (692:702, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1017:1027, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1033:1043, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2576:2586, <1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1017:1027, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Entity Explorer - Account.ipynb (697:707, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (692:702, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (692:702, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1097:1107, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1052:1062, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1010:1020, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1252:1262, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2155:2165, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2211:2221, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2060:2070, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2003:2013, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2110:2120, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2398:2408, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2356:2366, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2435:2445, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2303:2313, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1780:1790, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1767:1777, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1735:1745, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1695:1705, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1981:1991, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1869:1879, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1372:1382, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1310:1320, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1170:1180, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1249:1259, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1217:1227, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1572:1582, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1505:1515, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1531:1541, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1492:1502, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1423:1433, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (510:520, 2%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:630, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:678, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:751, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2544:2554, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:881, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:949, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:917, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:403, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:710, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:233, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:275, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:376, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:316, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:473, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:535, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:617, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (138:148, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2461:2471, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2461:2471, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1033:1043, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1448:1458, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (855:865, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (855:865, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Entity Explorer - Account.ipynb (2668:2678, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1969:1979, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (87:97, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (74:84, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (973:983, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (808:818, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1028:1038, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1149:1159, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1995:2005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1969:1979, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (799:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (797:807, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (808:818, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1427, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1379, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1858:1868, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1858:1868, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Guided Hunting - Azure Resource Explorer.ipynb (1347:1357, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1253, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1051, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1252, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1295, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1145, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1199, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1182, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Guided Hunting - Azure Resource Explorer.ipynb (1347:1357, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (46:56, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (59:69, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (475:485, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1253, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Entity Explorer - Account.ipynb (697:707, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1253, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1995:2005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1131:1141, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3028:3038, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3028:3038, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (692:702, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (89:99, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Guided Hunting - Azure Resource Explorer.ipynb (1347:1357, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Entity Explorer - Account.ipynb (697:707, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (218:228, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (274:284, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:398, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (475:485, 1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (84:94, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (85:95, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (629:639, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1253, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (510:520, 2%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (692:702, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1253, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2152:2162, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2152:2162, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3549:3559, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3549:3559, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1443:1453, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2576:2586, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (629:639, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:77, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:51, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1033:1043, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (797:807, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (692:702, 1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1443:1453, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1448:1458, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1443:1453, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (797:807, 1%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (629:639, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1252:1262, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Entity Explorer - Account.ipynb (2668:2678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1131:1141, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (997:1007, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1837:1847, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (629:639, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (973:983, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1243:1253, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Entity Explorer - Host.ipynb (688:698, 1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (808:818, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (164:174, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (239:249, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (256:266, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (324:334, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (367:377, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (413:423, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (464:474, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (496:506, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (973:983, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (906:916, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (922:932, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (516:526, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (570:580, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (618:628, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (674:684, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (763:773, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (750:760, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (847:857, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (400:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (808:818, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (973:983, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Entity Explorer - Host.ipynb (688:698, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1252:1262, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (973:983, 1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Entity Explorer - Account.ipynb (697:707, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (475:485, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1087:1097, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1448:1458, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Entity Explorer - Host.ipynb (688:698, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Guided Hunting - Azure Resource Explorer.ipynb (1347:1357, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1969:1979, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:75, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:51, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:356, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1969:1979, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3074:3084, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3074:3084, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:318, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (692:702, 1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (488:498, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:76, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:51, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:552, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:465, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:390, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:115, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:393, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:317, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:298, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:277, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:272, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:198, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:80, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:426, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (475:485, 1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:85, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:84, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:474, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:165, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:290, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:253, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:395, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:242, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:279, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:136, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:112, 3%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:57, 1%)

11 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (799:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1448:1458, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:218, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:106, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:336, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:107, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:83, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:296, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:237, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:329, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3394:3404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:718, <1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:159, 3%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3394:3404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:839, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1087:1097, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (797:807, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:135, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (510:520, 2%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (299:309, 3%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1055, <1%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:208, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:50, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:124, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:401, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:281, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:420, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:244, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:458, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:340, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:382, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:361, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:114, 1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:391, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:150, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:295, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:354, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:374, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1077, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1162, <1%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1130, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:87, 3%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:376, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:355, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:452, 2%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:74, 3%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:122, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:101, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:315, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:334, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:274, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:296, 2%)

11 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:117, 2%)

11 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1007, <1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:269, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:247, 2%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (12:22, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (13:23, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:184, 3%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:151, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:616, 1%)

11 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:87, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1091, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:196, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1018, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:306, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:229, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:179, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:237, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:165, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:347, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:67, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:107, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:67, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:71, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (665:674, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:306, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:281, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:244, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:248, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:94, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:196, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:406, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:482, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:301, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:264, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:147, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:152, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:151, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:347, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:390, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:465, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:229, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1169:1178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:135, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:226, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:159, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:471, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1007, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (61:70, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:973, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:306, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:196, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:48, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:640, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:708, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:863, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:907, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:781, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1243, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1179, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1141, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1132:1141, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:424, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:114, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:150, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:638, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:248, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:147, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:68, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (363:372, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:83, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:253, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:290, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:244, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:281, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:165, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:151, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (48:57, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:114, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1282:1291, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:150, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:48, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:83, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (936:945, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (262:271, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1372:1381, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (708:717, <1%)

10 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1372:1381, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (829:838, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (522:531, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:412, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1282:1291, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:154, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:292, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:255, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:315, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:161, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:481, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:68, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1079, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:510, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:94, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:315, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:481, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:161, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (868:877, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:476, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:578, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:638, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:237, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:336, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:218, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:48, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1077, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1130, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (617:626, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1162, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:390, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:465, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:390, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:465, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:107, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:154, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:412, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:292, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:255, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:48, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (303:312, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:708, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:640, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:781, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (363:372, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:907, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:863, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:973, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:226, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:237, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:242, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:279, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:471, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:150, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:114, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1130, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1162, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1077, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:395, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:159, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:333, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:94, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:242, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:279, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:395, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:78, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:83, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:237, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:333, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (390:399, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (220:229, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:285, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1243, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:295, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1141, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1179, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1018, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1091, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (936:945, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:150, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:114, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:476, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:578, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:412, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (48:57, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:292, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:255, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:48, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:154, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:578, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:401, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:476, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:316, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:482, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1169:1178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:162, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1007, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:351, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (140:149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:135, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:295, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:220, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:295, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1243, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1179, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1141, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1091, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1018, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:68, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (904:913, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:316, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:162, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:83, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:412, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:292, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:255, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:154, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:489, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:726, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:493, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:482, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1414:1423, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1243, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1179, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1141, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1091, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1018, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (811:820, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1469, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:482, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1077, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1130, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1162, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:295, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:94, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:135, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1007, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:347, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:229, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:176, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:264, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:301, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:218, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:336, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:295, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (604:613, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:68, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1038:1047, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:694, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:510, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (91:100, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:67, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:179, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:295, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (522:531, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:745, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:510, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1186:1195, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:316, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:482, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:162, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:226, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:471, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (48:57, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:640, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:708, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:781, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:863, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:907, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:973, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:159, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:395, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:242, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:279, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:395, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:279, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:242, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:147, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:248, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:151, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:135, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1007, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1414:1423, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:424, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (140:149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:165, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:253, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:290, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:161, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:83, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:315, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:481, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:406, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:152, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:152, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:723, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:510, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:406, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (213:222, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:67, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:224, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:161, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:315, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (665:674, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:481, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:242, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:279, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:395, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (426:435, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (455:464, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (380:389, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (258:267, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (289:298, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (663:672, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (692:701, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (599:608, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1099:1108, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1300, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:316, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:151, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:162, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:482, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:147, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:248, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:401, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:244, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:281, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:218, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:264, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:301, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:291, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:336, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:176, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:226, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:159, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:471, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:708, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:640, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:781, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:907, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:863, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:973, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:176, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1099:1108, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1054:1063, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1012:1021, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:420, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1251:1260, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1219:1228, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1374:1383, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:264, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:301, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1312:1321, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1494:1503, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1425:1434, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:48, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1574:1583, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1533:1542, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1507:1516, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1697:1706, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1782:1791, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1769:1778, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1737:1746, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1871:1880, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1983:1992, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1239:1248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:465, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:390, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:229, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:347, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:910, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1366:1375, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:68, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:62, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1099:1108, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1469, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:234, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2062:2071, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2005:2014, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2157:2166, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2112:2121, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2213:2222, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:489, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2358:2367, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2305:2314, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2437:2446, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2400:2409, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:218, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2546:2555, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:48, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:336, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:333, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:307, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:352, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1130, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1162, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1043:1052, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1174:1183, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1191:1200, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1137:1146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1244:1253, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1287:1296, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1371:1380, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:390, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1419:1428, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:465, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (303:312, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1077, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (518:527, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (572:581, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (415:424, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (498:507, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (466:475, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (765:774, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (752:761, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (676:685, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (620:629, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (369:378, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (326:335, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (241:250, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (258:267, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (166:175, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (975:984, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (924:933, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (908:917, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (849:858, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (810:819, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:991, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:94, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:118, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:481, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:161, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:315, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1239:1248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1055, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:290, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:165, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:781, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:465, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:907, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:863, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:390, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:640, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:708, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:973, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:471, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:159, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:226, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:237, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:165, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:244, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:281, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:401, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:290, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:253, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1034, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:150, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:114, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:351, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:726, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1132:1141, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:351, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (89:98, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (76:85, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (140:149, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1007, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:150, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:114, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (743:752, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (670:679, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (941:950, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (909:918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:135, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (873:882, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (368:377, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (308:317, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (267:276, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (225:234, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (609:618, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (868:877, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (622:631, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (527:536, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (465:474, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (454:463, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (425:434, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:638, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (379:388, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:315, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (257:266, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (288:297, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (212:221, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:481, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:48, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:152, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:161, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (738:747, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:476, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1077, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:578, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1162, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1130, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (653:662, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (682:691, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:424, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (592:601, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:231, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:68, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:482, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (551:560, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:242, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:279, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:395, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:70, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:83, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:224, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:237, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:352, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:48, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:406, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:578, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:253, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:476, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:152, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:401, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:351, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1162, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1130, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1077, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:726, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:406, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:48, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:229, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:147, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:347, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:248, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (61:70, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:432, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (811:820, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1300, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1109, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:510, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:426, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:218, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1091, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1141, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1179, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:336, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1018, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1243, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:638, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:152, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:253, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:406, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (738:747, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:278, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:663, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:347, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:229, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:476, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:401, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:578, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:176, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:264, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:301, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:804, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:281, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:244, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1141, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1179, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:218, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1243, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1018, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1091, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:255, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:292, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:336, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:154, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:73, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:412, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:245, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1212:1221, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:840, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (262:271, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:541, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:352, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:432, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:25, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (99:108, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:733, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:67, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:78, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1366:1375, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:333, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1007, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:36, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:135, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:249, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:209, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:482, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:391, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1038:1047, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:36, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:151, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:48, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:45, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:196, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:306, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:993, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:471, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:226, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:159, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:272, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:306, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:907, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:863, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:196, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:973, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:640, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:708, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:781, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:442, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (617:626, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:437, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:770, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (310:319, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:151, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (418:427, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:972, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (444:453, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:290, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:253, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:474, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:306, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:340, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:35, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:165, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:161, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:196, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:726, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:228, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:120, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:252, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1186:1195, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:64, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:267, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:55, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:403, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:436, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:352, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:478, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:580, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:296, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2501, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2472, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2530, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:349, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:231, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:156, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:329, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:156, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:257, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:294, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:176, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:107, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:301, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:264, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:414, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1123, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1165, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1273, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1232, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1090, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:244, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:281, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:401, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:434, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:148, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:75, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:374, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:354, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:458, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (874:883, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (804:813, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:197, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:340, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (734:743, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:361, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:909, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:382, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:975, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (606:615, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (659:668, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:642, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:473, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:783, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:865, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:159, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:124, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (904:913, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (928:937, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:184, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:710, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:383, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (442:451, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (235:244, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (196:205, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:236, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:27, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:87, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:162, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:316, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:482, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:117, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:296, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:274, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:334, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:342, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:315, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:424, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:50, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:482, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:164, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:316, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:489, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:484, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:412, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:969, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:367, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:70, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:318, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:94, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:162, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:430, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:49, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:616, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:247, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:311, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:489, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:297, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1245, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:48, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1143, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1181, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:102, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:50, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:168, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:292, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:255, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:154, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:122, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:250, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:452, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:343, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:376, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:355, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:334, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:305, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:149, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:50, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:57, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:348, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:96, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:408, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:393, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:317, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:176, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:211, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:292, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:80, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:255, 2%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:184, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:37, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:266, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:388, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:154, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:303, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:367, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:115, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:178, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:124, 2%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:222, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:87, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:198, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:309, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:85, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:763, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:277, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:298, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:483, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:765, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:206, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:280, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1055, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:317, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:198, 2%)

10 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (604:613, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:12, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1918, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:163, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:74, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:308, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:89, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1810, <1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:844, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:84, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:958, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1602, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:54, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:35, 1%)

10 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:146, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:269, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:247, 2%)

10 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1042, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:510, 1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:136, 2%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:112, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:314, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:37, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:49, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1020, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1093, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1358, <1%)

10 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1333, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:846, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:101, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:106, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:960, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:447, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:400, <1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:248, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:315, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:360, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:290, <1%)

10 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:57, 1%)

10 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:147, 2%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:157, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:198, <1%)

10 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:101, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (402:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (3:11, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1267, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:96, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:382, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:350, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:382, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:316, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:316, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:312, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:68, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:306, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:403, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:403, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:72, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:403, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:420, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:420, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1601, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1917, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1957, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1267, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1809, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2471, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2500, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2529, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1593:1601, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:511, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:963, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:72, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:202, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:239, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:290, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:519, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:519, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:342, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:546, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:546, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:323, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1801:1809, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1949:1957, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1909:1917, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2521:2529, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2463:2471, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2492:2500, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:463, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (490:498, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1297:1305, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:353, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:385, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1226, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (581:589, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1466:1474, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:106, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:306, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:541, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:710, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:101, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:427, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:427, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:67, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:67, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:546, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:153, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:72, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:214, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:424, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:214, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:536, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:342, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:436, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1084, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:436, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:463, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:463, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:361, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:361, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:468, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:468, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:385, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:311, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:710, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:230, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:101, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:446, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:314, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:399, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:359, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:289, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:132, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:156, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (71:79, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (46:54, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (980:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1823:1831, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:511, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:266, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:385, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:385, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1267, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:221, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:221, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:101, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:101, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:468, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:246, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:353, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:323, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:323, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:348, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:348, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1159, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1226, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:101, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:96, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:266, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:230, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:230, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:214, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:546, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:546, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:67, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:202, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:296, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:306, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:359, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:429, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:436, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:710, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:68, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:968, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:153, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:385, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:385, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:106, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:106, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:246, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:246, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (471:479, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1214:1222, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:239, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1327, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:638, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:299, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:203, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:203, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1159, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:261, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1084, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:153, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:153, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:266, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:350, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:350, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (466:474, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1466:1474, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:228, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:963, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:546, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:333, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Entity Explorer - Host.ipynb (467:475, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1214:1222, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:382, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:382, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:316, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:221, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:427, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:312, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:385, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1327, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:726, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:306, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (298:306, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:261, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:67, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:203, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:312, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:963, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:420, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (374:382, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:511, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:511, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:403, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:489, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:519, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:106, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:963, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (955:963, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1267, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1259:1267, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:312, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (304:312, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:536, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (60:68, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:239, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:239, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1327, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:202, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:350, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:290, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:290, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (89:97, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (512:520, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:290, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:316, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (283:291, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:420, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (282:290, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:101, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (416:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:348, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (316:324, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (554:562, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1280:1288, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:463, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:546, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:221, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:361, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (146:154, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:261, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (221:229, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:519, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:72, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (64:72, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:342, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:342, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:214, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (206:214, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:536, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:536, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:546, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1084, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1084, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1076:1084, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (308:316, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (378:386, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:436, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:436, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:427, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (102:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (207:215, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (59:67, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:299, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (103:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Entity Explorer - Account.ipynb (387:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1214:1222, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (528:536, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:468, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (343:351, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:361, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (375:383, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (428:436, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:266, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:482, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (258:266, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (455:463, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (421:429, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (471:479, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1214:1222, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (585:593, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (728:736, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (419:427, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (461:469, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (334:342, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (93:101, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (197:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:323, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:353, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:353, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (539:547, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (642:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1214:1222, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (571:579, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1466:1474, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (377:385, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (511:519, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (300:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:228, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1159, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (214:222, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1159, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:101, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (93:101, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1226, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1226, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (335:343, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:96, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:96, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (449:457, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1280:1288, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (301:309, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (353:361, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:348, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (299:307, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:316, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (213:221, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:551, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:710, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (433:441, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1466:1474, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:296, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (396:404, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (223:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1332, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1357, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1122, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1164, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1231, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1272, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (88:96, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (58:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1089, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (315:323, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:359, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:101, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:968, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (195:203, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:202, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (194:202, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (94:102, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (504:512, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (340:348, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (231:239, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (61:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:515, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1109:1117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (346:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (413:421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:68, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:68, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:71, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:54, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1210, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (305:313, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:614, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (341:349, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:99, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (254:262, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (538:546, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1005, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1332, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1357, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1272, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1231, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1122, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1164, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1089, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (124:132, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (148:156, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (92:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:203, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:471, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (503:511, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:105, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:133, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (423:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (211:219, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:230, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:467, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:299, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:299, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:334, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (564:572, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1280:1288, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:270, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:216, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:228, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (538:546, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:109, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (170:178, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1218:1226, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1344:1352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (94:102, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (283:291, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (346:354, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (99:107, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (460:468, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (222:230, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:225, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (723:731, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (590:598, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:100, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (420:428, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (93:101, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (539:547, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (259:267, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (309:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:120, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:327, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (459:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:385, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:134, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (377:385, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:110, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:407, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:374, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:332, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:353, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:352, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:288, 2%)

9 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (402:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (3:11, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:450, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:251, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:357, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:163, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:228, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (220:228, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:85, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (429:437, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:206, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (306:314, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (351:359, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (391:399, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (189:197, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (281:289, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:391, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (438:446, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (98:106, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:386, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:122, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:196, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:315, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:112, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:303, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:148, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:275, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:296, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (196:204, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:115, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (378:386, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:313, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:332, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:272, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:294, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (473:481, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1280:1288, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (412:420, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (456:464, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (37:45, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:157, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (460:468, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:440, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:246, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (292:300, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (159:167, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (238:246, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:113, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (195:203, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:83, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (208:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (209:217, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1075, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1128, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1160, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:320, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:149, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (291:299, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:242, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:279, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:372, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:352, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (98:106, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:456, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:380, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:359, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:338, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:389, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:82, 1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:122, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:399, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:114, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1151:1159, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1197, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1124, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1037, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (529:537, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (342:350, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (198:206, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:207, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1053, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1558, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1457, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1343, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1401, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1280, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:545, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:602, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:277, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:393, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:712, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:799, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:645, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:72, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:240, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:1000, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:55, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:950, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:879, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (424:432, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:838, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (60:68, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:365, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:235, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (61:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (345:353, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:293, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:403, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:351, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:523, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:81, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (145:153, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (80:88, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (69:77, 1%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:78, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1327, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1319:1327, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2038, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2091, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:267, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:245, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:265, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:85, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2429, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:415, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:438, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:479, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2346, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2384, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:341, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:362, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:383, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2291, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:388, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2258, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:245, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:269, 1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:301, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:346, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:463, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2193, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2137, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (61:69, 2%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:130, 1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:261, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (98:106, 2%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (253:261, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (62:70, 2%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1762, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1722, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1655, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (62:70, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1688, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (395:403, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (170:178, 2%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:780, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:700, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:648, <1%)

9 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (171:179, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:934, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:899, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (239:247, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (354:362, 2%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1397, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:257, <1%)

9 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (36:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (215:223, 1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:110, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:131, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:557, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:492, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:338, <1%)

9 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (232:240, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:396, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:85, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:272, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:294, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:313, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:332, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:115, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:134, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:110, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:456, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:380, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:359, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:338, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (561:568, 1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (281:288, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (244:251, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (397:404, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (26:33, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (39:46, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (143:150, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:85, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:614, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:113, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:544, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:999, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:949, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:878, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:837, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:798, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:711, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:644, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:601, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:332, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:78, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:456, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (298:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:338, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:359, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:380, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1359:1366, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:134, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:110, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:486, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (109:116, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:78, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (38:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (2671:2678, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (315:322, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (797:804, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1972:1979, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:551, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (472:479, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (306:313, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:82, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (152:159, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (25:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:774, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:774, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:55, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:82, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (71:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (100:107, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:85, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (731:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (37:44, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:55, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:99, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (236:243, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (25:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:85, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1396, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3481:3488, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3481:3488, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:272, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:294, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:313, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:332, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:78, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:315, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:391, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:196, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:296, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:115, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (316:323, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:893, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1053, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (736:743, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (608:615, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (661:668, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (225:232, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (930:937, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (806:813, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (876:883, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (237:244, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (198:205, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (444:451, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (269:276, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:614, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:85, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (801:808, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1972:1979, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (484:491, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:614, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:82, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1132:1139, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1082:1089, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1234:1241, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1170:1177, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:55, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1009:1016, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:115, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:120, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:272, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:294, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1053, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:313, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:332, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:332, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:353, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:374, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1389:1396, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:450, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:99, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:120, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (677:684, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:332, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:353, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:374, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:450, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:78, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:332, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:313, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:115, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:294, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:272, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:245, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:267, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:251, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:59, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:238, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:117, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:395, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:256, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:337, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:699, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:647, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:491, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:556, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (553:560, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:898, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:779, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:933, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:85, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (254:261, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:113, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:267, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:245, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (919:926, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (186:193, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:694, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:694, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:352, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:372, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (580:587, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:245, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:267, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:186, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:117, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (712:719, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:551, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:642, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (292:299, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (255:262, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (167:174, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:390, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:893, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (220:227, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (338:345, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (516:523, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:117, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:390, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (992:999, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (942:949, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (637:644, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (594:601, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (537:544, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (871:878, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (830:837, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (791:798, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (704:711, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:129, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:361, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:340, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:382, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (694:701, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:244, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:268, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:300, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (665:672, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (601:608, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (428:435, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (457:464, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:437, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:478, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (382:389, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:414, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (291:298, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (260:267, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:694, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (215:222, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (53:60, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1053, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (236:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:893, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:267, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:245, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:332, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (589:596, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:642, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:642, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:390, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:251, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:113, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:83, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:82, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:55, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (373:380, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3327:3334, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3327:3334, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:332, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:372, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:352, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:82, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:391, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:196, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:315, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:296, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:245, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:267, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (195:202, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (238:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:55, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:120, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (348:355, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (175:182, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:267, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:245, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:551, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:551, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (389:396, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (80:87, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (312:319, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (420:427, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (446:453, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (415:422, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:372, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:352, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (71:78, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:59, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (299:306, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (59:66, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (46:53, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:450, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:332, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:353, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:374, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:353, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:374, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:332, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:450, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:120, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (68:75, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (305:312, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (32:39, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1107:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:134, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:110, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:113, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (247:254, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (25:32, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:332, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (325:332, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (801:808, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1972:1979, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (280:287, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (122:129, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (1984:1991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (761:768, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (1984:1991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (138:145, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:372, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:352, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1162:1169, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (261:268, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (237:244, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (293:300, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (430:437, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (407:414, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (375:382, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (354:361, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (333:340, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (471:478, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (467:474, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1431:1438, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (569:576, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:486, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:486, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (32:39, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (714:721, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:120, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:332, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:374, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:353, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:450, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (801:808, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:85, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:386, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:456, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:338, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:380, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:359, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:74, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (38:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:85, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:296, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (85:92, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (684:691, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (655:662, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:196, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (594:601, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:391, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:315, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (412:419, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (290:297, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (214:221, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (259:266, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (456:463, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (427:434, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (381:388, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (297:304, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (187:194, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (160:167, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:486, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (797:804, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:83, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (38:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:82, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:614, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (82:89, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (42:49, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:110, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (39:46, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (26:33, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:55, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:614, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (982:989, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (450:457, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:83, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (349:356, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:238, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:59, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:296, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:196, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:315, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:391, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (188:195, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (795:802, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (795:802, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:99, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1053, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (801:808, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (362:369, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (431:438, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (646:653, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (290:297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (526:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (300:307, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (905:912, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (356:363, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (409:416, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:71, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (493:500, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:774, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (25:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4276:4283, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (315:322, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:78, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1384:1391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (260:267, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:110, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:134, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:614, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (67:74, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:774, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (476:483, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:272, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:294, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:115, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (217:224, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:134, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:110, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (491:498, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2598, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:338, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:359, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:380, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (375:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1314:1321, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:456, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (137:144, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (150:157, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (249:256, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (602:609, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:313, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:332, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (853:860, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (428:435, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (767:774, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:78, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (301:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (138:145, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (239:246, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1998:2005, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (315:322, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (141:148, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (184:191, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (315:322, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (724:731, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (429:436, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:515, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (773:780, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:113, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:471, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (479:486, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (24:31, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (137:144, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (101:108, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (778:785, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:407, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1053, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (74:81, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:225, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (631:638, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (699:706, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (754:761, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (772:779, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (377:384, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (462:469, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (573:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (747:754, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (854:861, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (835:842, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (898:905, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (949:956, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (131:138, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (964:971, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (444:451, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (626:633, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (603:610, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:206, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (452:459, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (247:254, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:120, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (88:95, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:450, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:353, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:332, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:374, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:357, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1221:1228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (188:195, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (234:241, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1127:1134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (266:273, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:251, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:313, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:332, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:294, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:272, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:115, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (535:542, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:85, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (454:461, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:251, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (244:251, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:316, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (643:650, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1748:1755, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (858:865, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (355:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1053, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:99, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (289:296, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:229, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:347, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (631:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:105, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1309:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (380:387, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (625:632, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (604:611, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:83, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (497:504, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:245, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (618:625, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (838:845, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (691:698, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (728:735, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (352:359, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:72, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (16:23, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (327:334, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:523, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (283:290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:83, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (369:376, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (795:802, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:296, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:196, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:315, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:391, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (66:73, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (484:491, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (520:527, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:578, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:320, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:476, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:401, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (199:206, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (242:249, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (70:77, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (615:622, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:303, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1117:1124, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1149:1156, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1042:1049, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1064:1071, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (573:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (570:577, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (759:766, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:456, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:196, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:338, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:359, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:380, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:391, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:315, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:296, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:83, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (698:705, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (475:482, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (909:916, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (352:359, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (183:190, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:73, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1097:1104, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:467, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:893, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (886:893, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (983:990, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (1132:1139, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (1132:1139, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:390, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (99:106, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (383:390, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (63:70, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (44:51, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:733, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (482:489, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (288:295, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:694, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (430:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (242:249, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:928, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (305:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (138:145, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (71:78, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (403:410, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1208:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2330:2337, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (46:53, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (96:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (331:338, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (386:393, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (140:147, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:113, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:598, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (293:300, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (116:123, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:550, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (331:338, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (943:950, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (172:179, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (256:263, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (234:241, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (339:346, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1007:1014, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (282:289, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (925:932, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (468:475, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (104:111, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:256, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (873:880, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (261:268, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (283:290, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (340:347, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (302:309, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (321:328, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:243, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (866:873, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (224:231, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (893:900, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:85, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:306, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:232, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:196, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (321:328, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (363:370, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (342:349, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (382:389, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (439:446, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (470:477, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:114, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (109:116, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:389, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (229:236, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (266:273, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (461:468, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (311:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (692:699, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (640:647, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (772:779, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:105, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (926:933, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (891:898, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (249:256, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (330:337, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (388:395, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:270, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (484:491, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (549:556, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (835:842, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (102:109, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (123:130, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:248, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:418, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:161, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:481, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:315, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:440, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:109, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (516:523, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1137:1144, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (413:420, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:186, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:59, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (563:570, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (341:348, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (361:368, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (195:202, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (376:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:134, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:34, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:110, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:146, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:346, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (569:576, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:25, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (795:802, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:99, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (687:694, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (171:178, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (611:618, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:250, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (445:452, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (477:484, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:376, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:355, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (388:395, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:372, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:34, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:352, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (99:106, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (831:838, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (74:81, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (93:100, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (542:549, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (277:284, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (566:573, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1034, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:238, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (268:275, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1025:1032, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:147, 2%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1173:1180, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:327, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:642, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (70:77, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (211:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:234, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (473:480, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2090, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (185:192, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2136, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (111:118, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2037, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (153:160, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2383, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:338, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:359, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (380:387, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2345, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (304:311, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (323:330, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:380, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2192, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:456, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2290, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (264:271, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2257, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (393:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (307:314, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (205:212, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2428, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:431, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:85, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1191:1198, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1117:1124, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:159, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (187:194, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (561:568, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1972:1979, <1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (38:45, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (709:716, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (438:445, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:432, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:471, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (505:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (962:969, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (550:557, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (595:602, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:640, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (963:970, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (412:419, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:226, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1068:1075, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (298:305, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (635:642, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (346:353, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1046:1053, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (72:79, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (524:531, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (724:731, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:399, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:195, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:958, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:157, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:242, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:279, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:844, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (994:1001, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:182, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:763, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:54, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (397:404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (102:109, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (636:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (122:129, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (322:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1036, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1029:1036, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:152, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (556:563, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:253, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:290, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1279, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:406, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1196, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1123, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:234, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1456, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (127:134, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1400, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1342, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1654, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1687, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:340, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:235, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (331:338, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (472:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1557, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (605:612, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1761, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (59:66, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1721, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:209, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:35, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:62, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (365:372, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (343:350, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:463, 1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:47, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:388, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:55, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (393:400, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (766:773, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1111:1118, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1454:1461, <1%)
  - scenario-notebooks/AutomatedNotebooks-Manager.ipynb (315:322, 2%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (766:773, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1039:1046, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:991, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (388:395, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:352, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:100, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:35, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:33, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:372, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:424, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (284:291, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:800, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:412, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2083:2090, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2030:2037, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2129:2136, <1%)

8 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (377:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2185:2192, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (221:228, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2250:2257, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2283:2290, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2376:2383, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2338:2345, <1%)

8 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (315:322, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:393, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:176, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1116:1123, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1189:1196, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:154, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1272:1279, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:240, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:292, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (45:52, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:472, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:255, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1393:1400, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1335:1342, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (930:937, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:47, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:277, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1449:1456, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:118, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1550:1557, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:307, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:149, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1680:1687, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1647:1654, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:68, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1714:1721, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1018, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1091, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1754:1761, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1005, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1179, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1141, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:352, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1243, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1222, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:334, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1209, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1233, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (664:671, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:663, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1017, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1030, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1048, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:926, <1%)

8 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (155:162, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1131, <1%)

8 duplicated lines in:
  - Entity Explorer - Host.ipynb (238:245, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:899, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:85, 2%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:182, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:48, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:41, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:99, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:365, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:133, <1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:301, 2%)

8 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (380:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:264, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1214:1221, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:437, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:216, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:112, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:47, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:148, 1%)

8 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (705:712, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (423:430, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:708, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:781, <1%)

8 duplicated lines in:
  - Entity Explorer - Account.ipynb (101:108, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:86, 2%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (33:40, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1075, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:757, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (623:630, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (65:72, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1128, <1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:278, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1160, <1%)

8 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:34, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:122, 1%)

8 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (544:551, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (216:223, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:162, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:316, 1%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:294, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:482, 1%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (480:487, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:293, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (62:69, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2421:2428, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:288, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:312, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:48, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:251, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:493, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:163, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:128, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:168, 2%)

8 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (49:56, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:300, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:354, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:94, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (654:661, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (700:707, 1%)

8 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:117, 1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (152:159, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (123:130, 2%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:863, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (277:284, 2%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (240:247, 2%)

8 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:247, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:81, 1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:907, <1%)

8 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:104, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:973, <1%)

8 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (901:908, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (321:328, 2%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1071:1077, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1921:1927, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1843:1849, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1843:1849, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1921:1927, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1921:1927, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1921:1927, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:79, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:448, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (466:472, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1297:1303, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:275, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:238, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:391, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:372, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:351, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:330, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:118, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3595:3601, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3595:3601, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3595:3601, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2708:2714, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2187:2193, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3595:3601, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1051, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1073, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2187:2193, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1158, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1126, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (72:78, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (73:79, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1071:1077, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1179:1185, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1179:1185, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1179:1185, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1606:1612, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1023:1029, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1010:1016, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1041:1047, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1376:1382, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1124:1130, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1226:1232, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1202:1208, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (250:256, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1051:1057, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1051:1057, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (871:877, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:313, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:332, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:389, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:194, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:294, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:214, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:273, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:386, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:461, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:612, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1038:1044, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1358:1364, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1358:1364, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:111, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:131, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1479:1485, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1479:1485, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1479:1485, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1703:1709, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:131, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:111, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1003, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1003, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1358:1364, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1479:1485, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2369:2375, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:80, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (866:872, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (866:872, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:53, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2109:2115, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (866:872, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2109:2115, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1236:1242, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1045:1051, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (809:815, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1376:1382, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (306:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1236:1242, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1236:1242, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (195:201, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (135:141, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1376:1382, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1376:1382, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1236:1242, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2209:2215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1475:1481, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1038:1044, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1038:1044, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (581:587, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1297:1303, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3211:3217, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3211:3217, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2920:2926, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:83, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3904, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (79:85, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2415, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2369:2375, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:146, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:110, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2042:2048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2042:2048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2522:2528, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2522:2528, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:76, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2042:2048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2042:2048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2305:2311, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2305:2311, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2305:2311, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2305:2311, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2469:2475, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2469:2475, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3269:3275, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3269:3275, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2469:2475, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1483:1489, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (983:989, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (784:790, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:514, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1475:1481, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1475:1481, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2209:2215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2209:2215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2209:2215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1475:1481, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (736:742, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (736:742, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (736:742, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2195:2201, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2195:2201, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3738:3744, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2527:2533, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3738:3744, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2527:2533, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:707, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1565, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1584, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:97, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2527:2533, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2225:2231, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2530:2536, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (100:106, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:370, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:350, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1315:1321, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1315:1321, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2217:2223, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1688:1694, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1688:1694, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4121:4127, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1711:1717, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3724, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2225:2231, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2225:2231, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1116:1122, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1116:1122, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1116:1122, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1116:1122, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3410:3416, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1171:1177, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3410:3416, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:386, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:461, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:612, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:945, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1622:1628, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1622:1628, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:680, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1672:1678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2345:2351, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2345:2351, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2345:2351, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (465:471, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1272:1278, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:961, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2345:2351, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2549:2555, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2609:2615, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2609:2615, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (961:967, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (823:829, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (961:967, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (823:829, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1331:1337, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1331:1337, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2893, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1573:1579, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2549:2555, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1573:1579, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1573:1579, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1573:1579, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4254:4260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (823:829, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1331:1337, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2549:2555, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (871:877, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (433:439, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1297:1303, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (871:877, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (871:877, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (885:891, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (885:891, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1961:1967, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2502:2508, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2549, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1073, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1051, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3854:3860, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1985:1991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2590, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2361:2367, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2361:2367, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2361:2367, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2432, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3854:3860, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3854:3860, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2469:2475, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3630:3636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2469:2475, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3630:3636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2361:2367, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2734, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3630:3636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3630:3636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1082:1088, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1082:1088, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:108, 2%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3890:3896, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (784:790, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1554:1560, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1554:1560, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3956:3962, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3956:3962, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:680, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (142:148, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (132:138, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2225:2231, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1158, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1126, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1318, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1141:1147, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1070:1076, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2708:2714, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:53, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:909, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3854:3860, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4155:4161, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4155:4161, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:80, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1570:1576, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1570:1576, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (914:920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (914:920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1551:1557, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (922:928, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3956:3962, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (922:928, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1799, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2412, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1165:1171, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1551:1557, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1551:1557, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:161, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:132, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2502:2508, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2502:2508, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:249, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:286, 2%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2502:2508, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1126, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1073, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1051, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1158, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1679, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (934:940, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (934:940, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (934:940, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2647, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1758:1764, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1758:1764, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1758:1764, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1758:1764, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1267:1273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:249, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:286, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:108, 2%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:132, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:161, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1003, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1267:1273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1635:1641, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1635:1641, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1635:1641, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1886:1892, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1886:1892, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:111, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:131, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1653:1659, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2442:2448, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1653:1659, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1653:1659, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2442:2448, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2442:2448, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (490:496, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1466:1472, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2748, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:388, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:866, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1894:1900, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (784:790, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (914:920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Host.ipynb (302:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (293:299, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (121:127, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (161:167, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:83, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4155:4161, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (423:429, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4155:4161, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4155:4161, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:350, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:370, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4068:4074, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:291, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:243, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:265, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1038:1044, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:81, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1131, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1614:1620, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1753:1759, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1614:1620, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1614:1620, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1614:1620, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2971, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (790:796, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3066:3072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3066:3072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3066:3072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1753:1759, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2981:2987, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (905:911, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2841:2847, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2981:2987, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (905:911, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2841:2847, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1281:1287, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1328:1334, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:970, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (632:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1328:1334, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1328:1334, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:454, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1777:1783, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:147, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:240, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:277, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2522:2528, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:336, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:357, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:378, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:397, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3269:3275, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4050:4056, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2522:2528, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3269:3275, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3269:3275, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2522:2528, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1672:1678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1834:1840, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1834:1840, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1834:1840, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1834:1840, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1672:1678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1672:1678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3128:3134, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1738, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4050:4056, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3044:3050, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3044:3050, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1180:1186, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3044:3050, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1980, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (72:78, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (35:41, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4254:4260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4254:4260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1046:1052, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4254:4260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:448, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (963:969, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (963:969, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:118, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:238, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:275, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:97, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:330, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:351, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:372, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:391, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1415:1421, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3128:3134, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3128:3134, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3128:3134, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1902, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1097:1103, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1188:1194, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1876:1882, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1188:1194, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1188:1194, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1188:1194, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1876:1882, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1876:1882, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1876:1882, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1241:1247, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1241:1247, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1179:1185, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (969:975, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3386:3392, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3386:3392, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1785:1791, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (306:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1959, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1711:1717, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (497:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:83, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3150, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1050, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:910, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:514, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1181:1187, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:615, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3906:3912, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3373, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3233, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1328:1334, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2800:2806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2920:2926, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2800:2806, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3882:3888, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3882:3888, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:83, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2238:2244, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2238:2244, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1551:1557, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1055, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2238:2244, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2218:2224, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:972, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:76, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2062, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1043:1049, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (784:790, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2195:2201, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1082:1088, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1082:1088, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:294, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:273, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:214, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:194, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:389, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:332, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:313, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3102:3108, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3102:3108, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3102:3108, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3102:3108, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2195:2201, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2195:2201, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1129:1135, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:97, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1129:1135, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1129:1135, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1129:1135, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1147:1153, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1003, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1147:1153, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1147:1153, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2297, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3429:3435, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3429:3435, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:111, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:131, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1331:1337, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3429:3435, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1171:1177, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1730:1736, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1209:1215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2276, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (787:793, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1730:1736, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3209, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (787:793, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (787:793, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (787:793, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (866:872, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:191, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:146, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:110, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1801:1807, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1147:1153, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1147:1153, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (790:796, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (790:796, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1228:1234, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1228:1234, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1180:1186, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1180:1186, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1180:1186, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2404, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2549:2555, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2549:2555, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1390, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2040, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2111:2117, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2111:2117, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2111:2117, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2111:2117, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3686:3692, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1342, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3686:3692, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:773, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1059:1065, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2566:2572, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3309, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2417:2423, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2417:2423, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:414, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3922:3928, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1046:1052, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1046:1052, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1105:1111, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1046:1052, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:83, 2%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (874:880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1105:1111, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1347:1353, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (790:796, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1347:1353, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (515:521, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:288, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (874:880, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1581:1587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1581:1587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1473, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1326:1332, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1326:1332, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1586:1592, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1586:1592, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2217:2223, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2217:2223, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1326:1332, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1586:1592, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1483:1489, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2217:2223, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1483:1489, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1483:1489, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (914:920, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:248, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:357, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:336, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:397, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:378, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:277, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:240, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:454, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:132, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:108, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:161, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:249, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:286, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:330, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (654:660, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1689:1695, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1689:1695, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:311, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:79, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:270, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (148:154, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (235:241, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:233, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:292, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:113, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:455, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (892:898, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (919:925, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (786:792, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (793:799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2168:2174, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2168:2174, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1114, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:645, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2434:2440, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (877:883, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:617, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3752, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (877:883, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1627:1633, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1627:1633, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3956:3962, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:350, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:370, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2337:2343, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2337:2343, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2337:2343, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2337:2343, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3541:3547, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3541:3547, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3541:3547, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3541:3547, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1313, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (877:883, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:983, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1461:1467, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (632:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2672:2678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2672:2678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2672:2678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2672:2678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1461:1467, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1267:1273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1267:1273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:243, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:265, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:147, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2353:2359, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3005, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:291, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2353:2359, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2353:2359, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1241:1247, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1323:1329, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1323:1329, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1323:1329, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (213:219, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1323:1329, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1209:1215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1209:1215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:887, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1209:1215, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (345:351, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1443:1449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:291, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:243, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:265, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1443:1449, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3882:3888, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:83, 2%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3882:3888, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1562:1568, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1562:1568, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4068:4074, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:612, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1581:1587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:81, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:461, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2527:2533, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1581:1587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:550, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:386, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1581:1587, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1562:1568, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:83, 2%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:194, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:214, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:294, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:273, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3882:3888, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:332, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:313, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:389, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1709:1715, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (963:969, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1074:1080, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (934:940, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (963:969, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (934:940, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (963:969, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:391, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:330, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:351, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:372, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:448, 1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:945, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:520, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:118, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:275, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3044:3050, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3044:3050, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2527:2533, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:238, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3760:3766, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3760:3766, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3760:3766, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (102:108, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3760:3766, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:420, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1074:1080, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1074:1080, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:344, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:147, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2434:2440, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2434:2440, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1635:1641, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2434:2440, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1428, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1096, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (930:936, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (784:790, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1409, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1772, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (993:999, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (993:999, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (993:999, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1785:1791, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1012, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:292, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:311, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:330, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (804:810, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:80, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:53, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:270, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:233, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:113, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:291, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:265, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:243, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1627:1633, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1627:1633, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1627:1633, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2442:2448, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (40:46, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (571:577, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1297:1303, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1257, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1173:1179, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (893:899, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3066:3072, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:80, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:81, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1423:1429, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:364, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1886:1892, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1886:1892, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1886:1892, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1606:1612, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:62, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1606:1612, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (852:858, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1643:1649, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1606:1612, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1643:1649, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:709, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (226:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:572, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1688:1694, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1613, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:620, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (346:352, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1688:1694, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1688:1694, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (885:891, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (885:891, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (423:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3802:3808, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3942:3948, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (532:538, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (736:742, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (736:742, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3942:3948, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (106:112, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1653:1659, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:615, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:338, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:461, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:386, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1016, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:612, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (934:940, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:301, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3906:3912, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3906:3912, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1326:1332, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (72:78, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (29:35, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1653:1659, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (224:230, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1745:1751, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (784:790, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3906:3912, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (308:314, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:666, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1786, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:233, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (72:78, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (33:39, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3177:3183, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3177:3183, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (464:470, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3177:3183, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3429:3435, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3177:3183, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2329:2335, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2218:2224, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1054:1060, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4042:4048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4042:4048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1826:1832, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1826:1832, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3922:3928, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3922:3928, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1826:1832, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1982:1988, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3922:3928, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:457, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1711, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:311, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:330, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:270, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:292, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4042:4048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:113, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4042:4048, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:233, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (542:548, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (63:69, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1954, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2353:2359, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (507:513, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:97, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1622:1628, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1622:1628, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:897, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:249, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:286, 2%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (257:263, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1374:1380, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (905:911, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:132, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:108, 2%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:161, 2%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:76, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1985:1991, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:317, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1622:1628, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3802:3808, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (845:851, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:804, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:110, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:146, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2168:2174, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:83, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:351, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:330, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:391, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:372, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1233:1239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:448, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2168:2174, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1233:1239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1233:1239, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:378, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2651:2657, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2651:2657, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2530:2536, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2651:2657, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2651:2657, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (344:350, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (97:103, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2530:2536, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2530:2536, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1982:1988, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (463:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:505, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:118, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2168:2174, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1740:1746, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:238, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:275, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:81, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:485, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1982:1988, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1982:1988, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1097:1103, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:206, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1740:1746, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3219:3225, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4252, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (459:465, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1097:1103, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1097:1103, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (381:387, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (823:829, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:467, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (459:465, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2566:2572, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (198:204, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (262:268, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:208, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4214, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1079:1085, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (961:967, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (101:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:255, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:127, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:579, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1021:1027, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1854:1860, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1826:1832, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1079:1085, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (614:620, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1390:1396, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (821:827, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (199:205, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (235:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (399:405, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:953, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:510, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1709:1715, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1322, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:53, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:739, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1703:1709, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (217:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1107, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1703:1709, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (416:422, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:76, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1703:1709, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:64, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (92:98, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Host.ipynb (628:634, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (295:301, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1213:1219, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (853:859, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:840, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:88, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (532:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:80, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (378:384, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:147, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2131, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3142, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3219:3225, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (174:180, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3219:3225, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2630:2636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:679, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2630:2636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:655, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2630:2636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:760, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3219:3225, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:929, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:178, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:31, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2630:2636, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:919, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (349:355, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:330, 2%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:113, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:330, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:311, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:292, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:233, 1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1686, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (427:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:270, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:552, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (96:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:270, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1074, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1562:1568, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (397:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (403:409, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (65:71, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:79, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (286:292, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4121:4127, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (149:155, 2%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:402, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:254, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (72:78, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (34:40, 1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (72:78, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (34:40, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1961:1967, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:146, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:110, <1%)

7 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:859, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (459:465, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1438:1444, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1059:1065, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1438:1444, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (432:438, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3116, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (210:216, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (319:325, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:421, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (381:387, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2238:2244, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:117, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:416, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:313, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:332, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:389, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4109, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:273, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:294, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:214, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:194, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (312:318, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (201:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:486, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:378, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:397, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:336, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:357, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3261, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:79, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:277, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:240, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (542:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:454, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:397, 1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:336, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:350, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:357, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:370, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:378, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:277, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:240, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:454, 1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:286, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:120, 1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:419, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (64:70, 2%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:479, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1435, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1527, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1443, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1451, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1459, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1411, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1419, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1288, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1379, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1149, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:958, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1365, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (357:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:349, 1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1878, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2274, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1590, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1691, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1699, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:810, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:78, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1415:1421, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (762:768, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:146, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:187, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (242:248, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1415:1421, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (947:953, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1946, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2461, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (97:103, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2490, <1%)

7 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1415:1421, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (565:571, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:281, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:157, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2519, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:349, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:279, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:304, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:217, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:436, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:359, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:381, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:389, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1358:1364, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1103:1109, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Entity Explorer - Account.ipynb (1809:1815, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (861:867, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (304:310, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:348, 1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (174:180, 2%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:723, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1907, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1947, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1051, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1073, <1%)

7 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (338:344, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:635, 1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1126, <1%)

7 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (302:308, 2%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1158, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:107, <1%)

7 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:397, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:122, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1262, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1221, <1%)

7 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:388, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1265, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1347, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1079, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1586:1592, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1095:1101, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1586:1592, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1008:1014, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1154, <1%)

7 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1317, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1112, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1801:1807, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (921:927, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:663, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:671, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:811, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:599, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1801:1807, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (585:591, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:546, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1801:1807, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (557:563, <1%)

7 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:322, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1799, <1%)

7 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3241, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:517, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:776, <1%)

7 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1284, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:752, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2125:2130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1090:1095, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (123:128, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (123:128, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1800:1805, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3457:3462, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1465, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (641:646, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (8:13, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (28:33, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (112:117, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (112:117, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (447:452, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (562:567, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1465, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (802:807, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (650:655, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (27:32, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (883:888, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (802:807, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (20:25, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:576, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (750:755, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:399, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (512:517, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (512:517, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (512:517, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (55:60, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (559:564, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (339:344, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (589:594, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (670:675, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (156:161, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (156:161, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (156:161, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (512:517, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (156:161, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (425:430, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (487:492, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (552:557, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (252:257, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (292:297, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (333:338, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (355:360, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (464:469, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (99:104, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (99:104, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:160, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:314, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (28:33, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:480, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (929:934, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (964:969, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (894:899, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (643:648, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (695:700, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (775:780, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:607, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2064:2069, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (211:216, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4103:4108, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3235:3240, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (555:560, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (26:31, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3697:3702, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (137:142, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (424:429, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (193:198, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (103:108, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (109:114, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (156:161, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (156:161, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1794:1799, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (320:325, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1586:1591, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (817:822, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (387:392, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (817:822, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (817:822, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (817:822, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (753:758, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1902:1907, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1942:1947, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1116:1121, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (972:977, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3816:3821, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1024:1029, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1024:1029, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1024:1029, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1024:1029, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (602:607, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3110:3115, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2428:2433, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1358:1363, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (242:247, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (200:205, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (70:75, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (529:534, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:404, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:150, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:251, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:288, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (78:83, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (559:564, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (295:300, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:46, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:33, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2064:2069, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (89:94, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (109:114, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (14:19, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:33, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:46, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2379:2384, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2341:2346, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2424:2429, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2496:2501, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (26:31, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2467:2472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2132:2137, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2188:2193, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (796:801, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2286:2291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2253:2258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (232:237, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2033:2038, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2086:2091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (232:237, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (232:237, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (232:237, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1000:1005, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (36:41, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (160:165, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (591:596, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1200:1205, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1125:1130, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (591:596, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (299:304, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (753:758, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1200:1205, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1462:1467, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (184:189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (299:304, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (184:189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (299:304, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (299:304, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1805:1810, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1913:1918, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1953:1958, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1683:1688, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1650:1655, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1757:1762, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1717:1722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (317:322, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1452:1457, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1597:1602, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1553:1558, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2728:2733, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1275:1280, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1338:1343, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1396:1401, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (217:222, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1032:1037, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1192:1197, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (449:454, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (449:454, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2485:2490, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2456:2461, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (449:454, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (449:454, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2514:2519, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (554:559, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (817:822, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1993:1998, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3136:3141, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (83:88, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (27:32, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (358:363, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1953:1958, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (512:517, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (997:1002, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1086:1091, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3255:3260, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4246:4251, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (640:645, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (707:712, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (794:799, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (833:838, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (874:879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (945:950, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (995:1000, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1896:1901, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (285:290, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (395:400, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1342:1347, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (355:360, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1317:1322, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (442:447, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (540:545, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (597:602, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1074:1079, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1392:1397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1353:1358, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1328:1333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1268:1273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1227:1232, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1257:1262, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1216:1221, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1160:1165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (152:157, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1118:1123, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1107:1112, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1149:1154, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (128:133, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1085:1090, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (266:271, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (193:198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (149:154, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:576, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:474, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:399, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (271:276, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (449:454, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (262:267, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1032:1037, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1192:1197, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (125:130, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (125:130, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1452:1457, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1597:1602, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1553:1558, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3473:3478, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1200:1205, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1275:1280, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (977:982, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1338:1343, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1396:1401, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1805:1810, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1913:1918, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1953:1958, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1683:1688, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1650:1655, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1757:1762, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1717:1722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (91:96, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1384:1389, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:345, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (240:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (240:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2525:2530, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (277:282, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (277:282, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2033:2038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:53, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:66, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (125:130, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (22:27, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2379:2384, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2341:2346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (410:415, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (433:438, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (149:154, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2424:2429, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2496:2501, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2467:2472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (149:154, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2132:2137, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2086:2091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (149:154, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (296:301, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2286:2291, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2253:2258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (336:341, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2188:2193, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (357:362, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (378:383, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2525:2530, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3144:3149, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:679, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (76:81, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (137:142, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (999:1004, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (999:1004, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (287:292, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (999:1004, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (999:1004, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (277:282, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (848:853, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (277:282, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (848:853, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (364:369, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1454:1459, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:46, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:33, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (263:268, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (285:290, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (226:231, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (304:309, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (323:328, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (765:770, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (106:111, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (180:185, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (497:502, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2409:2414, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (308:313, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (384:389, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1472:1477, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (115:120, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (189:194, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (209:214, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (268:273, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:614, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:614, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (271:276, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (271:276, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (271:276, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (271:276, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (98:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (895:900, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (493:498, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (103:108, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (80:85, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:480, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (529:534, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2380:2385, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (972:977, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:314, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (796:801, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:160, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:92, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (91:96, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1036:1041, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1036:1041, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1036:1041, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (313:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1036:1041, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (103:108, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1133:1138, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3832:3837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (883:888, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:747, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (124:129, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (883:888, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (883:888, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (167:172, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (167:172, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (883:888, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (750:755, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (167:172, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (167:172, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (22:27, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (296:301, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1093:1098, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (640:645, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (597:602, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (540:545, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (833:838, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (874:879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (707:712, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (467:472, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (794:799, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (285:290, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (128:133, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (152:157, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (193:198, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (442:447, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (355:360, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (395:400, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (472:477, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (441:446, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (700:705, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:944, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (217:222, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (111:116, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (268:273, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (985:990, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (384:389, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (365:370, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (323:328, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (83:88, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (83:88, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (874:879, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (299:304, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (903:908, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:145, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:46, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:33, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1024:1029, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (317:322, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (317:322, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (633:638, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (41:46, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (98:103, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (109:114, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (945:950, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (995:1000, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (87:92, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (180:185, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3287:3292, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2865:2870, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:288, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:404, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2270:2275, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:150, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:251, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (382:387, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1:6, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:87, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (487:492, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1307:1312, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:387, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1060:1065, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (695:700, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (362:367, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (362:367, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (695:700, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2742:2747, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (362:367, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (695:700, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (695:700, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2865:2870, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (146:151, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (184:189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (1:6, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (860:865, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (240:245, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (125:130, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (433:438, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (410:415, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (296:301, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (378:383, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (357:362, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (336:341, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (572:577, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (999:1004, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (262:267, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (262:267, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (387:392, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3816:3821, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (387:392, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (651:656, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (310:315, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (40:45, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (40:45, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (40:45, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (112:117, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (348:353, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (348:353, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (348:353, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (348:353, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (225:230, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:513, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (465:470, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (161:166, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (643:648, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (161:166, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (26:31, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (161:166, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (161:166, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:262, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:174, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (181:186, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (539:544, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:299, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (362:367, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (539:544, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3832:3837, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1680:1685, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (527:532, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (804:809, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (398:403, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (398:403, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (398:403, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (398:403, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (935:940, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (935:940, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (40:45, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (398:403, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (724:729, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (258:263, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (112:117, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (112:117, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1877, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (535:540, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1264, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:410, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1698, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1690, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2233:2238, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1526, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1589, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:290, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (527:532, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (527:532, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1418, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1410, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1442, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1434, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1450, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:253, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (527:532, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1364, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (379:384, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1287, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (454:459, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (605:610, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (108:113, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (109:114, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (628:633, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (955:960, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (700:705, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (72:77, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (749:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (543:548, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (156:161, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (749:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (232:237, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (527:532, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:174, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:299, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:262, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1:6, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2928:2933, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2887:2892, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:513, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (519:524, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2477:2482, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (64:69, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (126:131, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (87:92, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (87:92, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (848:853, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (999:1004, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:253, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (305:310, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:944, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1063:1068, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1063:1068, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:410, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1063:1068, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1063:1068, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1751:1756, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (562:567, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1296, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3287:3292, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (146:151, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (146:151, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1088:1093, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (146:151, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1036:1041, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (126:131, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (464:469, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (935:940, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (464:469, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (441:446, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (464:469, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (464:469, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (132:137, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (678:683, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (572:577, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1465, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1817:1822, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (112:117, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (382:387, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1559:1564, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (146:151, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3874:3879, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:345, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (460:465, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (957:962, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (957:962, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1066:1071, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (957:962, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (957:962, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (687:692, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (263:268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (112:117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (80:85, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (290:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:387, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (66:71, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (146:151, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (478:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2584:2589, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2641:2646, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:937, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (641:646, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (160:165, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (160:165, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1:6, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (1:6, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (8:13, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (8:13, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (8:13, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (313:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (102:107, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (36:41, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (36:41, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1184:1189, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3303:3308, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (640:645, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (8:13, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (36:41, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (742:747, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (36:41, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (695:700, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (214:219, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (214:219, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:404, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (266:271, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (214:219, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:251, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:150, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:288, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1382:1387, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (214:219, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (633:638, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (633:638, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (695:700, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (666:671, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (63:68, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (458:463, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (429:434, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (266:271, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (602:607, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (216:221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (716:721, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (292:297, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1259:1264, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:66, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:53, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (633:638, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (633:638, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (102:107, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (741:746, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1422:1427, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (271:276, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (313:318, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (478:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (478:483, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (132:137, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (132:137, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (132:137, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3898:3903, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (132:137, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (488:493, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (110:115, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (74:79, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (110:115, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (931:936, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (313:318, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:670, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:662, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:775, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (238:243, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (199:204, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:810, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (877:882, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (807:812, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (662:667, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (737:742, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (609:614, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (445:450, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (607:612, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (456:461, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (535:540, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (381:386, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1809:1814, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1031:1036, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (433:438, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4216:4221, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (156:161, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (277:282, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (73:78, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (273:278, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (273:278, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (458:463, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (25:30, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (429:434, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1990:1995, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (913:918, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (602:607, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (273:278, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (695:700, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (666:671, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (102:107, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1990:1995, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (421:426, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1990:1995, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (649:654, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1990:1995, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (313:318, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:598, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:545, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (932:937, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (216:221, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (292:297, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1446:1451, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:516, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (545:550, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (545:550, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (545:550, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (545:550, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (273:278, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (28:33, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (263:268, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (107:112, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (342:347, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (342:347, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (992:997, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:46, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:33, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (992:997, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (175:180, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (992:997, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (992:997, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (24:29, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (596:601, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (233:238, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1:6, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (1:6, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:345, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (243:248, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (917:922, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (440:445, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2808:2813, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:246, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (26:31, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (167:172, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (167:172, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (1:6, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (348:353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (589:594, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (957:962, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2398:2403, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (25:30, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (26:31, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (839:844, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1147:1152, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (363:368, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (343:348, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (281:286, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (244:249, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (103:108, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (156:161, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (127:132, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (270:275, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (270:275, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (997:1002, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (474:479, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (724:729, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (724:729, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (270:275, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (724:729, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (270:275, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (441:446, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (107:112, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (724:729, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (125:130, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (441:446, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (535:540, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (634:639, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:861, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:842, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (481:486, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1465, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:905, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:971, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:956, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (535:540, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (91:96, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:638, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:761, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1203:1208, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2232:2237, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:779, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (110:115, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:842, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:861, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:905, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:956, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (528:533, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:971, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:614, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (345:350, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (345:350, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (345:350, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (113:118, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (207:212, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (266:271, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (817:822, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (91:96, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (91:96, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (187:192, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (306:311, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (325:330, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (382:387, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (91:96, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (695:700, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (414:419, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (415:420, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (433:438, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (410:415, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (441:446, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (441:446, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (296:301, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (240:245, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (336:341, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (357:362, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (378:383, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (238:243, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (199:204, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (807:812, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (877:882, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (737:742, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (662:667, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (609:614, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (445:450, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (26:31, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (339:344, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (26:31, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (414:419, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3565:3570, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:46, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:33, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1128:1133, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (344:349, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (281:286, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (152:157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (28:33, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1993:1998, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (210:215, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (26:31, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (26:31, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:469, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (953:958, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:638, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:779, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:761, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (997:1002, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:469, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (997:1002, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:224, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (997:1002, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (997:1002, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:144, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (299:304, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:157, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (466:471, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (749:754, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1793:1798, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (796:801, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (464:469, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1036:1041, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (24:29, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (535:540, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (535:540, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (535:540, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (535:540, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (217:222, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (217:222, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (33:38, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (217:222, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (217:222, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (447:452, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1900:1905, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2406:2411, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (447:452, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:92, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (931:936, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (555:560, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (595:600, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (555:560, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (760:765, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:194, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:304, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (129:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:92, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (345:350, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (424:429, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (554:559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1851:1856, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1817:1822, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (14:19, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (71:76, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (14:19, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (14:19, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (14:19, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (262:267, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (357:362, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (796:801, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (796:801, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (796:801, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3914:3919, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (125:130, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (87:92, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (227:232, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (805:810, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (805:810, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (259:264, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (805:810, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (304:309, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (436:441, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (277:282, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (22:27, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (432:437, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (939:944, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (78:83, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (345:350, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (107:112, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (373:378, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (352:357, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (998:1003, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (449:454, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (28:33, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (107:112, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (527:532, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (879:884, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (879:884, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (641:646, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (641:646, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (156:161, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (487:492, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (338:343, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (115:120, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (487:492, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (487:492, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (107:112, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (107:112, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (235:240, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (487:492, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (123:128, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (641:646, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (441:446, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (641:646, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (220:225, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (108:113, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (48:53, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (193:198, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (74:79, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (75:80, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (539:544, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (106:111, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (126:131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (214:219, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (72:77, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (46:51, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (145:150, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (109:114, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (260:265, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (291:296, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (215:220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (457:462, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (428:433, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (382:387, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (595:600, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (262:267, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (656:661, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (685:690, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (262:267, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (238:243, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (271:276, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (22:27, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (103:108, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (139:144, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1948:1953, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (440:445, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (440:445, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (457:462, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1296, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1607:1612, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (678:683, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (678:683, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (678:683, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (266:271, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (307:312, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (678:683, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:53, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:66, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (389:394, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (389:394, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (266:271, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (1090:1095, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (590:595, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (266:271, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (266:271, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (592:597, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1044:1049, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (798:803, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (922:927, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (317:322, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (805:810, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (883:888, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (678:683, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3565:3570, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (767:772, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (144:149, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (86:91, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2362:2367, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1063:1068, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (98:103, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (292:297, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (292:297, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (295:300, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (831:836, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (152:157, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (879:884, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3704:3709, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1262:1267, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (464:469, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (589:594, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (112:117, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (263:268, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (263:268, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3718:3723, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (263:268, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (113:118, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (41:46, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (28:33, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2426:2431, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (263:268, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (55:60, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (55:60, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (447:452, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (421:426, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (539:544, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (313:318, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (444:449, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (539:544, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (292:297, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (292:297, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (685:690, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (656:661, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1049:1054, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:944, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:944, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (595:600, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (457:462, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (428:433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (215:220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (291:296, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (260:265, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (479:484, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (988:993, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (270:275, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (233:238, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1068:1073, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3367:3372, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1153:1158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1121:1126, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1108:1113, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (361:366, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (240:245, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:160, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:314, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (361:366, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (361:366, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:480, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (361:366, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (992:997, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:679, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (184:189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (210:215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (53:58, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (361:366, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (320:325, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (995:1000, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (945:950, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (874:879, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (833:838, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1278:1283, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (365:370, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (206:211, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (279:284, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (794:799, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (398:403, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (345:350, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (707:712, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (640:645, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (597:602, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (540:545, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (442:447, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (355:360, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (591:596, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (395:400, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (285:290, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (167:172, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (193:198, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (128:133, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (152:157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (729:734, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (729:734, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (457:462, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1460:1465, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1093:1098, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1093:1098, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1093:1098, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1093:1098, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3581:3586, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (342:347, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (760:765, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (760:765, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (21:26, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (760:765, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (760:765, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (595:600, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (595:600, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (595:600, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (572:577, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1296, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (595:600, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (864:869, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (528:533, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (161:166, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (528:533, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (729:734, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (528:533, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (528:533, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (729:734, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (437:442, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (429:434, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (760:765, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (1:6, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (1:6, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (160:165, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (160:165, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1732:1737, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (436:441, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (436:441, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (43:48, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2477:2482, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (343:348, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (460:465, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (30:35, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (103:108, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (80:85, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (650:655, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (650:655, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (750:755, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (655:660, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (650:655, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (415:420, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (650:655, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (415:420, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (582:587, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (415:420, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (415:420, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (145:150, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (802:807, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (751:756, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (290:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (53:58, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (290:295, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (53:58, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1089, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (53:58, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (53:58, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (71:76, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1139, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1177, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1093:1098, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1016, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (250:255, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1241, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (707:712, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (707:712, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (707:712, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (74:79, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (122:127, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (26:31, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (1:6, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1403:1408, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1262:1267, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (839:844, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (445:450, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (211:216, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1000:1005, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1000:1005, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (707:712, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (211:216, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (22:27, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (481:486, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1296, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (634:639, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (634:639, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (231:236, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:506, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (103:108, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (109:114, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (596:601, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (596:601, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (634:639, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (634:639, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1081:1086, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:679, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (596:601, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:905, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (596:601, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:956, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:971, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1805:1810, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:861, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:842, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1953:1958, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1913:1918, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:779, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:761, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2965:2970, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (275:280, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:638, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:469, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:399, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:474, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:144, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:224, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:576, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1139, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1177, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1016, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1089, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (341:346, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1032:1037, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (266:271, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (258:263, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1192:1197, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (266:271, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (236:241, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1338:1343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1275:1280, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1452:1457, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1396:1401, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:290, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1553:1558, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:253, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1683:1688, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1650:1655, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1597:1602, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1757:1762, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:410, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1717:1722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (1568:1573, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (858:863, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (193:198, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (193:198, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (193:198, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1:6, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (1:6, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (736:741, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:262, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (864:869, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:299, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (864:869, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (864:869, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (444:449, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:174, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (687:692, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1010:1015, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1417:1422, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (193:198, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (864:869, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (444:449, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (512:517, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (687:692, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1940:1945, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (444:449, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (444:449, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (611:616, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (966:971, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (528:533, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (687:692, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (687:692, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (160:165, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (317:322, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (317:322, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (317:322, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (317:322, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (112:117, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (730:735, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2286:2291, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2253:2258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2424:2429, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2379:2384, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2341:2346, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2525:2530, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2496:2501, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2467:2472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (98:103, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1292:1297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (41:46, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (310:315, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (28:33, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (310:315, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (310:315, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (310:315, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2086:2091, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2033:2038, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2188:2193, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2132:2137, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (729:734, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (415:420, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (108:113, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (290:295, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (108:113, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (25:30, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (650:655, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (552:557, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (425:430, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (487:492, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (775:780, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (695:700, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (643:648, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1872:1877, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (1:6, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (1:6, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (333:338, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (355:360, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (1:6, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (1:6, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (252:257, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (413:418, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (292:297, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1693:1698, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1685:1690, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (113:118, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (508:513, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (236:241, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (115:120, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (591:596, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (53:58, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (929:934, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (964:969, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (443:448, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (894:899, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (367:372, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (386:391, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (325:330, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (346:351, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (519:524, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (519:524, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (270:275, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (233:238, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (258:263, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (18:23, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (18:23, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (519:524, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (192:197, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (519:524, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (8:13, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (126:131, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (145:150, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (145:150, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (992:997, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1584:1589, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1521:1526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1413:1418, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1405:1410, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1437:1442, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1429:1434, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1445:1450, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (28:33, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1359:1364, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (414:419, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1282:1287, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (936:941, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (338:343, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (490:495, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (295:300, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (295:300, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (101:106, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (295:300, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (295:300, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (345:350, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (741:746, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (511:516, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (129:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (519:524, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3746:3751, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (22:27, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (129:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (323:328, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (129:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (129:134, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (318:323, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (753:758, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (939:944, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1766:1771, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (364:369, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (915:920, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (753:758, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (753:758, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (501:506, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (765:770, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1242:1247, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (439:444, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1128:1133, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (753:758, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1128:1133, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (765:770, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (765:770, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (765:770, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (364:369, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1006:1011, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (493:498, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (214:219, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (67:72, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (493:498, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (493:498, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (493:498, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (92:97, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (258:263, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:380, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (493:498, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (1124:1129, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1974:1979, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (400:405, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (62:67, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (82:87, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (528:533, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (226:231, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (247:252, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (145:150, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (468:473, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (283:288, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (246:251, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (323:328, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (323:328, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (424:429, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1291:1296, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (399:404, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (323:328, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (571:576, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:513, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (129:134, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (394:399, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (262:267, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1060:1065, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (232:237, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (334:339, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1060:1065, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (184:189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (184:189, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3976:3981, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:513, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (98:103, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (80:85, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (212:217, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (508:513, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2999:3004, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (21:26, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (34:39, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (619:624, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (889:894, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (110:115, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (633:638, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1251:1256, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (210:215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (210:215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (488:493, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (488:493, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (488:493, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (881:886, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (754:759, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (210:215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (322:327, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (488:493, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (210:215, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:387, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (74:79, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (418:423, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (358:363, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1368:1373, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (261:266, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (180:185, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (238:243, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (497:502, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (805:810, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1233:1238, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (449:454, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (167:172, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (839:844, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (318:323, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (345:350, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (839:844, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (839:844, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (71:76, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (218:223, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (839:844, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (716:721, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (323:328, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (729:734, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1086:1091, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (217:222, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (488:493, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (367:372, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (306:311, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1268:1273, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1227:1232, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1086:1091, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (101:106, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (154:159, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (125:130, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1392:1397, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (240:245, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1353:1358, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1086:1091, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1328:1333, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1086:1091, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1085:1090, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (323:328, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (765:770, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1086:1091, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1160:1165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (749:754, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1118:1123, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (279:284, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1100:1105, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (242:247, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (112:117, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (109:114, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (18:23, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (18:23, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (107:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (109:114, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1026:1031, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (284:289, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (274:279, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (289:294, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (516:521, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (252:257, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (99:104, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (295:300, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (160:165, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (417:422, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (248:253, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (107:112, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2291:2296, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (317:322, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (227:232, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (701:706, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (46:51, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (292:297, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (235:240, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (46:51, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1312:1317, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (90:95, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (71:76, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (73:78, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (409:414, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (453:458, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (273:278, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (356:361, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (335:340, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (377:382, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (248:253, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (292:297, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (101:106, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (638:643, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (282:287, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (657:662, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (411:416, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (213:218, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (589:594, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (227:232, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (270:275, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (408:413, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (358:363, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (589:594, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (589:594, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (589:594, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (516:521, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (670:675, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (192:197, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (767:772, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (259:264, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (259:264, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (259:264, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (723:728, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (40:45, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (259:264, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (507:512, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:679, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (674:679, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2992:2997, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (805:810, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (185:190, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (925:930, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (65:70, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (214:219, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (73:78, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (593:598, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (540:545, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (511:516, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (665:670, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (657:662, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (805:810, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (390:395, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (770:775, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4268:4273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (746:751, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:64, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2852:2857, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (625:630, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (670:675, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (907:912, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (670:675, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (670:675, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (182:187, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (274:279, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (127:132, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (141:146, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (102:107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (431:436, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (384:389, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (412:417, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (344:349, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (834:839, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (25:30, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (260:265, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (293:298, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (329:334, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (286:291, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (170:175, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (310:315, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (405:410, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1155:1160, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (451:456, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (242:247, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (199:204, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (957:962, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (69:74, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (846:851, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (108:113, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (80:85, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (283:288, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (199:204, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (379:384, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (161:166, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (276:281, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (239:244, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1327:1332, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1239:1244, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (726:731, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (925:930, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (317:322, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (162:167, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (460:465, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (396:401, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1341:1346, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1316:1321, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (27:32, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1256:1261, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1215:1220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1148:1153, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (385:390, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (670:675, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (532:537, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (100:105, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1106:1111, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (629:634, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1073:1078, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (53:58, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (974:979, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1039:1044, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (448:453, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (545:550, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (633:638, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (93:98, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (75:80, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (25:30, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (255:260, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (921:926, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (75:80, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (75:80, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (472:477, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (151:156, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (680:685, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1172:1177, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1324:1329, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (150:155, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (76:81, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (707:712, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (516:521, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (225:230, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (511:516, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (516:521, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (348:353, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (566:571, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1024:1029, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (891:896, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (106:111, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (438:443, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (347:352, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (559:564, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (527:532, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (952:957, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (514:519, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (668:673, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (311:316, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (59:64, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (240:245, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1213:1218, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (383:388, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (17:22, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (871:876, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (329:334, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:304, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1349:1354, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1210:1215, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (1005:1010, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (955:960, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (841:846, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (39:44, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (18:23, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (602:607, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (334:339, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (358:363, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (362:367, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (499:504, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (303:308, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (264:269, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (242:247, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (639:644, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (249:254, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (964:969, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (131:136, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (479:484, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:194, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (282:287, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (200:205, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1292:1297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (1292:1297, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (309:314, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (430:435, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (149:154, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (256:261, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (27:32, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (75:80, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (56:61, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (187:192, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (372:377, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (760:765, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (425:430, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (223:228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (130:135, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1578:1583, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (173:178, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (418:423, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (167:172, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1134:1139, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (404:409, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:614, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (449:454, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2543:2548, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1002:1007, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (261:266, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (298:303, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (398:403, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (53:58, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (1:6, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1:6, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (852:857, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (590:595, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2268:2273, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (231:236, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (144:149, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (307:312, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (282:287, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (354:359, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (259:264, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (87:92, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (32:37, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureLogAnalytics.ipynb (28:33, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1227:1232, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (535:540, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (278:283, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:304, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1268:1273, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1118:1123, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:194, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1160:1165, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (614:619, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (668:673, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (84:89, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (732:737, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1085:1090, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (132:137, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (202:207, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (121:126, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (112:117, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (386:391, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (651:656, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (61:66, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (48:53, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (607:612, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (107:112, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1353:1358, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1328:1333, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (112:117, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (434:439, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2591:2596, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (112:117, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (66:71, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1392:1397, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (404:409, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (698:703, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (349:354, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (375:380, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1252:1257, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (247:252, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (137:142, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (137:142, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (204:209, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (137:142, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2254:2259, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (137:142, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (112:117, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (317:322, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (538:543, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (290:295, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (947:952, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (894:899, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (547:552, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (929:934, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (76:81, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (964:969, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (904:909, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (78:83, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (975:980, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (775:780, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (664:669, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (386:391, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (218:223, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (32:37, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (504:509, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (291:296, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (444:449, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (620:625, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (624:629, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (874:879, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (874:879, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (874:879, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (57:62, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (159:164, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (874:879, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (175:180, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (289:294, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (313:318, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (913:918, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (158:163, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (479:484, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1673:1678, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (252:257, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (292:297, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (126:131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (105:110, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (323:328, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (487:492, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (425:430, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (351:356, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (18:23, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (19:24, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (333:338, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (355:360, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (643:648, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (695:700, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (478:483, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (312:317, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (410:415, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (552:557, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (842:847, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (239:244, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (487:492, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (237:242, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (756:761, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (774:779, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (398:403, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (900:905, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (54:59, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (27:32, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (547:552, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (837:842, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (856:861, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (966:971, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (951:956, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1954:1959, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1914:1919, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (464:469, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (236:241, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1336:1341, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (8:13, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (25:30, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (770:775, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (389:394, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (300:305, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (660:665, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (633:638, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (52:57, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (36:41, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (98:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (547:552, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (139:144, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (152:157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:387, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (281:286, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (303:308, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (219:224, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (323:328, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (382:387, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (174:179, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (98:103, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (687:692, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1416:1421, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (362:367, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1081:1086, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (111:116, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (169:174, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1157:1162, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1125:1130, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1072:1077, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1002:1007, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (55:60, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (328:333, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (545:550, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2526:2531, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (329:334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (33:38, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (372:377, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2497:2502, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2468:2473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2425:2430, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (343:348, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (249:254, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (261:266, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (244:249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (38:43, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2342:2347, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2380:2385, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (544:549, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (575:580, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (927:932, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (852:857, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (813:818, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (978:983, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4208:4213, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (714:719, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (679:684, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (108:113, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (623:628, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (179:184, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (228:233, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (768:773, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (325:330, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (418:423, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (469:474, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (524:529, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (306:311, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (257:262, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (287:292, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (294:299, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (681:686, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (575:580, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1156:1161, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (521:526, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (424:429, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1453:1458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (379:384, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (44:49, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1397:1402, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1339:1344, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (169:174, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1089, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1276:1281, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (445:450, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (340:345, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1139, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (305:310, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (129:134, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (343:348, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (238:243, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1016, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (22:27, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (271:276, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (107:112, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1806:1811, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (465:470, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1177, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1758:1763, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2034:2039, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (107:112, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (80:85, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (763:768, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (264:269, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (286:291, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1718:1723, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (660:665, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (434:439, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (58:63, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (227:232, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (539:544, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1684:1689, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1651:1656, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (801:806, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (369:374, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (421:426, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (349:354, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1554:1559, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (693:698, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1598:1603, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (463:468, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (707:712, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2189:2194, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (378:383, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2254:2259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (771:776, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (78:83, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2287:2292, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2087:2092, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (231:236, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2133:2138, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (357:362, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (923:928, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1027:1032, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2034:2039, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (415:420, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (299:304, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (179:184, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (363:368, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (733:738, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1033:1038, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (442:447, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (79:84, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (512:517, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1068:1073, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (483:488, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (546:551, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (172:177, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (270:275, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (264:269, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (474:479, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (869:874, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (73:78, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (229:234, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (562:567, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (155:160, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (102:107, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (429:434, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (258:263, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (258:263, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (280:285, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (108:113, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (243:248, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (647:652, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (303:308, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1263:1268, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (324:329, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (441:446, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (771:776, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (96:101, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (473:478, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (154:159, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (315:320, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (595:600, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1050:1055, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1088:1093, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (75:80, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1240:1245, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (404:409, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1138:1143, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (947:952, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (930:935, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (965:970, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (563:568, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (371:376, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (329:334, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (350:355, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (180:185, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (61:66, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (250:255, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (912:917, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (32:37, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (180:185, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (890:895, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (94:99, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (776:781, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (403:408, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1780:1785, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (447:452, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (895:900, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (34:39, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (144:149, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1134:1139, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1172:1177, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (269:274, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (245:250, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1011:1016, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (291:296, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1084:1089, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (2928:2933, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (310:315, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (329:334, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (394:399, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (543:548, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1236:1241, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (65:70, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (180:185, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (180:185, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (709:714, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (254:259, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (609:614, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (66:71, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (127:132, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (106:111, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (396:401, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (253:258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (293:298, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (420:425, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (180:185, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (179:184, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (553:558, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (180:185, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1040:1045, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (901:906, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (644:649, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (144:149, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (703:708, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (696:701, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (606:611, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (387:392, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (629:634, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (51:56, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (149:154, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (117:122, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (392:397, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (638:643, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (386:391, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (50:55, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (334:339, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (762:767, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (761:766, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (393:398, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (488:493, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1369:1374, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (426:431, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (45:50, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (68:73, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (529:534, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (47:52, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (481:486, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (287:292, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (255:260, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (231:236, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (280:285, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (116:121, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (717:722, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3203:3208, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (332:337, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (188:193, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (265:270, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (455:460, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (610:615, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (529:534, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (529:534, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (331:336, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (380:385, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (559:564, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (77:82, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (251:256, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (529:534, 1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (213:218, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (473:478, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (442:447, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (853:858, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (450:455, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (385:390, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (366:371, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (31:36, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1323:1328, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (790:795, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (345:350, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (324:329, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (269:274, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (232:237, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (289:294, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (1018:1023, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (572:577, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (202:207, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (339:344, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (215:220, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (211:216, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (102:107, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (223:228, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (279:284, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (211:216, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1285:1290, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (337:342, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (111:116, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (330:335, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (372:377, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (351:356, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (391:396, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (102:107, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (234:239, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (271:276, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (520:525, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (273:278, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (222:227, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (14:19, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1114:1119, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (87:92, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (65:70, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (806:811, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (214:219, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (960:965, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (274:279, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (87:92, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (364:369, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (525:530, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (105:110, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (125:130, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (682:687, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (45:50, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (448:453, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (480:485, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (227:232, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (111:116, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (38:43, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (93:98, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (482:487, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (952:957, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (629:634, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (634:639, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1189:1194, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (333:338, 1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (59:64, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (75:80, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (24:29, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (874:879, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (424:429, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (401:406, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (142:147, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (501:506, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (997:1002, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (86:91, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (465:470, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (368:373, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (413:418, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (369:374, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (348:353, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (421:426, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (327:332, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (313:318, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (247:252, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (73:78, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (342:347, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (924:929, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (285:290, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (259:264, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (287:292, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (237:242, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1388:1393, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (218:223, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (653:658, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (138:143, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (151:156, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (877:882, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1241:1246, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (181:186, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (598:603, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (116:121, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (101:106, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (221:226, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (554:559, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (846:851, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (339:344, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (40:45, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (630:635, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (701:706, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (882:887, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (720:725, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (52:57, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1063:1068, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (267:272, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (516:521, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (82:87, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (473:478, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (40:45, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (90:95, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (228:233, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (880:885, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (365:370, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (153:158, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (984:989, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (606:611, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (307:312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (305:310, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (146:151, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (520:525, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (500:505, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (543:548, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (2056:2061, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1354:1359, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1393:1398, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (59:64, 1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (44:49, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (686:691, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (634:639, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (417:422, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1228:1233, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1235:1240, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1269:1274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (328:333, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (324:329, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (260:265, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1083:1088, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1171:1176, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (478:483, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (264:269, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1010:1015, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3457:3462, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (168:173, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (4216:4221, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1062:1067, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (762:767, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (864:869, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1133:1138, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (926:931, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (910:915, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (977:982, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1941:1946, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (40:45, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (474:479, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (126:131, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (700:705, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1901:1906, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (700:705, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (812:817, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (851:856, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (514:519, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (297:302, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (265:270, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (944:949, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (241:246, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (912:917, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (876:881, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (767:772, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (766:771, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (754:759, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1161:1166, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (361:366, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (746:751, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (700:705, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (493:498, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (885:890, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1041:1046, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1086:1091, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (622:627, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (678:683, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1143:1148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (920:925, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (725:730, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (574:579, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (602:607, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (625:630, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (612:617, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (673:678, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1585:1590, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (643:648, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (140:145, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (700:705, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (530:535, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - A Getting Started Guide For PowerShell AML Notebooks.ipynb (643:648, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (204:209, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (469:474, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (559:564, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (69:74, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (559:564, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (468:473, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1793:1798, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Entity Explorer - Host.ipynb (363:368, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (135:140, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (193:198, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (40:45, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (428:433, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (559:564, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (391:396, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (371:376, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (164:169, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (270:275, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1264:1269, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (64:69, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (102:107, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1188:1193, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (25:30, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (153:158, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (129:134, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (154:159, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (804:809, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (96:101, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (309:314, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (194:199, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (603:608, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (664:669, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (596:601, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (614:619, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (300:305, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (718:723, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (396:401, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (238:243, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (497:502, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1705:1710, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (311:316, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (656:661, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (416:421, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (286:291, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (308:313, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (356:361, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (395:400, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (260:265, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (155:160, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (436:441, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (286:291, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (950:955, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (351:356, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (965:970, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1699:1704, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (131:136, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (497:502, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (531:536, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (390:395, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (541:546, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (836:841, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (324:329, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (382:387, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (598:603, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (588:593, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (899:904, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (268:273, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1784:1789, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (855:860, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1771:1776, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1739:1744, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (223:228, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (206:211, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (698:703, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (222:227, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (700:705, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (375:380, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (631:636, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (443:448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (243:248, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (45:50, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1223:1228, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1066:1071, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (773:778, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1044:1049, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (755:760, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (97:102, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (390:395, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1873:1878, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (434:439, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (411:416, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (795:800, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (667:672, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (463:468, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (275:280, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (117:122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (834:839, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1151:1156, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Sentinel Bulk Logs Export.ipynb (448:453, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1119:1124, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (142:147, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (632:637, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1985:1990, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (379:384, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (358:363, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (337:342, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (69:74, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (497:502, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (497:502, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (211:216, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (52:57, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (405:410, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (641:646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (708:713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1135:1140, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (475:480, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (959:964, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (745:750, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1174:1179, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (986:991, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (285:290, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1221:1226, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (639:644, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (936:941, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (248:253, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (885:890, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (724:729, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1253:1258, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (242:247, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1080:1085, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (70:75, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (946:951, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (366:371, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (996:1001, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (468:473, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1314:1319, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (815:820, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (147:152, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (651:656, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (236:241, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (651:656, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (222:227, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (429:434, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1376:1381, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (785:790, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (156:161, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (651:656, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (338:343, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1427:1432, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (939:944, <1%)

6 duplicated lines in:
  - Entity Explorer - Domain and URL.ipynb (404:409, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (51:56, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (824:829, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (253:258, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (321:326, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1496:1501, <1%)

6 duplicated lines in:
  - Guided Hunting - Anomalous Office365 Exchange Sessions.ipynb (353:358, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (865:870, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (27:32, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (870:875, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (40:45, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (246:251, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (223:228, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1576:1581, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (63:68, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (26:31, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (50:55, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1509:1514, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1535:1540, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1289:1294, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (299:304, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (299:304, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1421:1426, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (309:314, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (651:656, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (543:548, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1246:1251, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1373:1378, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (453:458, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (703:708, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (39:44, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (475:480, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (319:324, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (617:622, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1056:1061, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1139:1144, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1193:1198, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1014:1019, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (332:337, 1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1176:1181, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (670:675, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (91:96, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (485:490, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (5:10, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (270:275, 1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1101:1106, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2370:2375, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1290:1295, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2332:2337, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (437:442, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1247:1252, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (1467:1472, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1194:1199, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1177:1182, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2415:2420, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1140:1145, <1%)

6 duplicated lines in:
  - ConfiguringNotebookEnvironment.ipynb (846:851, <1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (26:31, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (391:396, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2123:2128, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1046:1051, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2179:2184, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1045:1050, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1067:1072, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2513:2518, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (610:615, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2455:2460, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1378:1383, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2484:2489, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (674:679, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2077:2082, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2244:2249, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2277:2282, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (533:538, 1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (189:194, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1120:1125, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1113:1118, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (1152:1157, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Hunting-Notebooks/Scheduled_Hunting-AutomatedDataQueryAndMDTIAPIAndIngestionToCustomTable.ipynb (80:85, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (244:249, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (70:75, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (860:865, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (970:975, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1070:1075, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2024:2029, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (904:909, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (68:73, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (364:369, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (468:473, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (78:83, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (920:925, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (91:96, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (637:642, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (168:173, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1422:1427, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (208:213, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (224:229, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (906:911, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (393:398, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Blob Storage.ipynb (362:367, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (404:409, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (705:710, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1284:1289, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (570:575, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (617:622, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (778:783, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (256:261, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (938:943, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (350:355, 1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (702:707, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (691:696, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1374:1379, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (203:208, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (244:249, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (139:144, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1986:1991, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (298:303, 1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Machine Learning in Notebooks Examples.ipynb (461:466, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1874:1879, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (740:745, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (240:245, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (163:168, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (74:79, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (343:348, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (486:491, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (325:330, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2064:2069, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1311:1316, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1383:1388, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2007:2012, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1223:1228, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (6:11, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1137:1142, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2159:2164, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2114:2119, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1577:1582, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2215:2220, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1536:1541, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1510:1515, <1%)

6 duplicated lines in:
  - Guided Hunting - Investigating Malicious Links Shared in Teams.ipynb (346:351, 1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Entity Explorer - Linux Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (84:89, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics Query.ipynb (77:82, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2307:2312, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1428:1433, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (533:538, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (1117:1122, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1497:1502, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2360:2365, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2439:2444, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1785:1790, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3443:3448, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1772:1777, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2402:2407, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1740:1745, <1%)

6 duplicated lines in:
  - Guided Investigation - Azure WAF SQLI.ipynb (948:953, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (69:74, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (189:194, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (143:148, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (85:90, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1700:1705, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (156:161, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (1033:1038, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (136:141, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (983:988, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2548:2553, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (141:146, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (462:467, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureDataExplorer.ipynb (188:193, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (370:375, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1443:1448, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (208:213, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (70:75, 1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (90:95, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (222:227, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (114:119, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1175:1180, <1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (94:99, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (47:52, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2160:2165, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1171:1176, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (60:65, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (188:193, 1%)

6 duplicated lines in:
  - Guided Hunting - Base64-Encoded Linux Commands.ipynb (685:690, <1%)
  - scenario-notebooks/Guided Investigation - MDE Webshell Alerts.ipynb (62:67, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1102:1107, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2115:2120, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (269:274, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1544:1549, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (227:232, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (326:331, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (498:503, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (307:312, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (430:435, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (288:293, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (267:272, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1057:1062, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (310:315, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1641:1646, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1015:1020, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2216:2221, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1674:1679, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (383:388, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (343:348, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (415:420, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (690:695, <1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (383:388, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1315:1320, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1748:1753, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (672:677, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (1017:1022, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (404:409, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1708:1713, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1377:1382, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (624:629, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (611:616, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (298:303, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (377:382, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (273:278, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (467:472, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (421:426, <1%)
  - scenario-notebooks/Export Historical Log Data.ipynb (207:212, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (278:283, 1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AzureResourceProvisioning.ipynb (26:31, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2065:2070, <1%)

6 duplicated lines in:
  - Hands-on 2. Surfing Data using Azure SDK.ipynb (226:231, 1%)
  - scenario-notebooks/Hunting-Notebooks/AIO_Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (392:397, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2008:2013, <1%)

6 duplicated lines in:
  - Entity Explorer - IP Address.ipynb (398:403, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (529:534, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1254:1259, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (288:293, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1222:1227, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2549:2554, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (272:277, <1%)
  - scenario-notebooks/Hunting-Notebooks/AutomateTools_ParquetGenerator.ipynb (232:237, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1023:1028, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (272:277, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (573:578, <1%)
  - scenario-notebooks/Automated-Notebooks/AutomationGallery-CredentialScanOnAzureBlobStorage.ipynb (219:224, <1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (3227:3232, <1%)
  - scenario-notebooks/AutomatedNotebooks-IncidentTriage.ipynb (1126:1131, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (1348:1353, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (141:146, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (293:298, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (466:471, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (284:289, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (226:231, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (875:880, <1%)

6 duplicated lines in:
  - Guided Investigation - Incident Triage.ipynb (255:260, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1110:1115, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (915:920, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (72:77, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1183:1188, <1%)

6 duplicated lines in:
  - Entity Explorer - Windows Host.ipynb (324:329, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (15:20, <1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (146:151, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (388:393, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Data Explorer.ipynb (33:38, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-AutomatedDataQueryAndIngestionToCustomTable.ipynb (27:32, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (581:586, <1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (110:115, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (112:117, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (312:317, 1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (131:136, 1%)

6 duplicated lines in:
  - A Tour of Cybersec notebook features.ipynb (992:997, <1%)
  - scenario-notebooks/Microsoft Sentinel Query Creator.ipynb (885:890, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (153:158, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (344:349, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (745:750, <1%)

6 duplicated lines in:
  - Entity Explorer - Account.ipynb (61:66, <1%)
  - scenario-notebooks/UserSecurityMetadata/Guided Analysis - User Security Metadata.ipynb (195:200, 1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2308:2313, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1266:1271, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2361:2366, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2403:2408, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (548:553, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (2440:2445, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1329:1334, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (92:97, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (248:253, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (79:84, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (140:145, <1%)

6 duplicated lines in:
  - Guided Investigation - Fusion Incident.ipynb (316:321, <1%)
  - scenario-notebooks/Guided Hunting - Use Machine Learning to Detect Potential Low and Slow Password Sprays using Apache Spark via Azure Synapse.ipynb (1387:1392, <1%)

6 duplicated lines in:
  - Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (350:355, <1%)
  - scenario-notebooks/Tools/PerfTools_Log Analytics_CustomTable_Setup.ipynb (104:109, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (151:156, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (943:948, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (193:198, 1%)

6 duplicated lines in:
  - Configurate Azure ML and Azure Synapse Analytics.ipynb (655:660, <1%)
  - scenario-notebooks/Guided Hunting - Detect potential network beaconing using Apache Spark via Azure Synapse.ipynb (911:916, <1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (263:268, 1%)
  - scenario-notebooks/Hunting-Notebooks/Hunting-QueryParquetFilesAndIngestionToCustomTable.ipynb (119:124, 1%)

6 duplicated lines in:
  - Credential Scan on Azure Log Analytics.ipynb (31:36, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)

6 duplicated lines in:
  - Hands-on 1. Data Discovery using Azure REST API.ipynb (204:209, 1%)
  - scenario-notebooks/Hunting-Notebooks/LogAnalytics-CustomTableSetup.ipynb (300:305, <1%)